Publications

Books and edited volumes

  1. J. P. Carvalho, D. Dubois, U. Kaymak, and J. M. C. Sousa, editors. Proceedings of the 2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 2009. IFSA–EUSFLAT.
  2. J. P. Carvalho, D. Dubois, U. Kaymak, and J. M. C. Sousa, editors. Final Program and Book of Abstracts of the 2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 2009. IFSA–EUSFLAT.
  3. João Miguel da Costa Sousa and Uzay Kaymak. Fuzzy Decision Making in Modeling and Control, volume 27 of World Scientific Series in Robotics and Intelligent Systems. World Scientific, New Jersey, 2002.

Chapters in edited volumes

  1. B. Tütmez and U. Kaymak. Hybrid least-squares regression modelling using confidence bounds. In C. Borgelt, M. Ángeles Gil, J. M. C. Sousa, and M. Verleysen, editors, Towards Advanced Data Analysis by Combining Soft Computing and Statistics, pages 53–63. Springer, Berlin, Germany, 2012. To appear.
  2. Ankit Soni, Nees Jan van Eck, and Uzay Kaymak. Predicting stock price movements from concept map information. In N. Thomaidis and G. H. Dash, editors, Recent Advances in Computational Finance. Nova Publishers, Hauppauge, NY, USA, 2012. To appear.
  3. F. Frasincar, D. V. Milea, and U. Kaymak. tOWL: Integrating time in OWL. In Roberto De Virgilio, Fausto Giunchiglia, and Letizia Tanca, editors, Semantic Web Information Management: A Model-Based Perspective, pages 225–246. Springer, Heidelberg, 2010.
  4. S. M. Vieira, J. M. C. Sousa, and U. Kaymak. Ant feature selection using fuzzy decision functions. In Weldon A. Lodwick and Janusz Kacprzyk, editors, Fuzzy Optimization: Recent Developments and Applications, volume 254 of Studies in Fuzziness and Soft Computing, pages 343–364. Springer, Berlin, 2010.
  5. M. Lovric, U. Kaymak, and J. Spronk. A conceptual model of investor behavior. In S. Nefti and J. O. Gray, editors, Advances in Cognitive Systems, volume 71 of IET Control Engineering Series, pages 369–394. Institution of Engineering and Technology, London, 2010.
  6. Frederik Hogenboom, Viorel Milea, Flavius Frasincar, and Uzay Kaymak. RDF–GL: A SPARQL-based graphical query language for RDF. In Richard Chbeir, Youakim Badr, Ajith Abraham, and Aboul-Ella Hassanien, editors, Emergent Web Intelligence: advanced information retrieval, Advanced Information and Knowledge Processing, pages 87–116. Springer, Berlin, 2010.
  7. Alex Micu, Laurens Mast, Viorel Milea, Flavius Frasincar, and Uzay Kaymak. Financial news analysis using a semantic web approach. In Paolo Ceravolo, Ernesto Damiani, Angelo Corallo, Gianluca Elia, and Antonio Zilli, editors, Semantic Knowledge Management: an Ontology-based Framework, pages 311–328. IGI Global, Hershey, USA, 2008.
  8. Patrick J. F. Groenen, Uzay Kaymak, and Joost van Rosmalen. Fuzzy clustering with Minkowski distance functions. In J. Valente de Oliveira and W. Pedrycz, editors, Advances in Fuzzy Clustering and its Applications, pages 53–68. John Wiley, Chichester, England, 2007.
  9. Rob Potharst, Uzay Kaymak, and Wim Pijls. Neural networks for target selection in direct marketing. In Kate Smith and Jatinder Gupta, editors, Neural Networks in Business: techniques and applications, pages 89–110. Idea Group Publishing, London, 2002.
  10. U. Kaymak. Fuzzy decisions for control systems. In H. B. Verbruggen and R. Babuška, editors, Fuzzy Logic Control: Advances in Applications, number 23 inWorld Scientific Series in Robotics and Intelligent Systems, pages 113–134. World Scientific, Singapore, 1999.
  11. J. M. Sousa, U. Kaymak, and H. B. Verbruggen. Performance criteria: classical and fuzzy design. In H. B. Verbruggen, H.-J. Zimmermann, and R. Babuška, editors, Fuzzy Algorithms for Control, pages 159–183. Kluwer Academic Publishers, Dordrecht, the Netherlands, 1999.
  12. U. Kaymak, R. Babuška, M. Setnes, H. B. Verbruggen, and H. R. van Nauta Lemke. Methods for simplification of fuzzy models. In Da Ruan, editor, Intelligent Hybrid Systems, pages 91–108. Kluwer Academic Publishers, Boston, 1997.
  13. Gerard Schram, Uzay Kaymak, and Henk B. Verbruggen. Fuzzy logic control. In Jean-François Magni, Samir Bennani, and Jan Terlouw, editors, Robust Flight Control: a design challenge, volume 224 of Lecture Notes in Control and Information Sciences, pages 135–145. Springer, Berlin, 1997.

Journal and ISI indexed papers

  1. Roel H. Bosma, Dang Kieu Nhan, Henk M. J. Udo, and Uzay Kaymak. Factors affecting farmers adoption of integrated ricefish farming systems in the mekong delta, vietnam. Reviews in Aquaculture, 2012. To appear.
  2. B. Tütmez, U. Kaymak, and A. E. Tercan. Local spatial regression models: a comparative analysis on soil contamination. Stochastic Environmental Research and Risk Assessment, 2012. To appear.
  3. B. Tütmez, U. Kaymak, A. E. Tercan, and C. D. Lloyd. Evaluating geo-environmental variables using a clustering based areal model. Computers & Geosciences, 43:34–41, 2012.
  4. S. M. Vieira, J. M. C. Sousa, and U. Kaymak. Fuzzy criteria for feature selection. Fuzzy Sets and Systems, 189(1):1–18, 2012.
  5. V. Milea, F. Frasincar, U. Kaymak, and Geert-Jan Houben. Temporal optimizations and temporal cardinality in the tOWL language. International Journal of Web Engineering and Technology, 7(1):45–64, 2012.
  6. Roel H. Bosma, Jan van den Berg, Uzay Kaymak, Henk Udo, and Johan Verreth. A generic methodology for developing fuzzy decision models. Expert Systems with Applications, 39(1):1200–1210, 2012.
  7. V. Milea, F. Frasincar, and U. Kaymak. tOWL: a temporal web ontology language. IEEE Transactions on Systems, Man and Cybernetics, Part B, 42(1):268–281, 2012.
  8. V. Milea, R. J. Almeida, N. Mohd-Sharef, U. Kaymak, and F. Frasincar. Computational content analysis of European Central Bank statements. International Journal of Computer Information Systems and Industrial Management Applications, 4:628–640, 2012.
  9. U. Kaymak, A. Ben-David, and R. Potharst. The AUK: a simple alternative to the AUC. Engineering Applications of AI, 25(5):1082–1089, 2012.
  10. J. Hinojosa, S. Nefti, and U. Kaymak. Systems control with generalized probabilistic fuzzy-reinforcement learning. IEEE Transactions on Fuzzy Systems, 19(1):51–64, February 2011.
  11. R. Bosma, U. Kaymak, J. van den Berg, H. M. J. Udo, and J. A. J. Verreth. Using fuzzy logic modelling to simulate farmers’ decision making on diversification and integration in the Mekong Delta, Vietnam. Soft Computing, 15(2):295–310, 2011.
  12. L. Waltman, N. J. van Eck, R. Dekker, and U. Kaymak. Economic modeling using evolutionary algorithms: the effect of binary encoding of strategies. Journal of Evolutionary Economics, 21(5):737–756, 2011.
  13. Aloy Soppe, Marc Schauten, Jurjen Soppe, and Uzay Kaymak. Corporate social responsibility reputation (CSSR): do companies comply with their raised CSR expectations? Corporate Reputation Review, 14:300–323, 2011.
  14. M. Lovric, U. Kaymak, and J. Spronk. Modeling investor sentiment and overconfidence in an agent-based stock market. Human Systems Management, 29(2):89–101, 2010.
  15. R. J. Almeida and U. Kaymak. Probabilistic fuzzy systems in value-at-risk estimation. International Journal of Intelligent Systems in Accounting, Finance and Management, 16(1/2):49–70, 2009.
  16. S. Nefti, M. Oussalah, and U. Kaymak. A new fuzzy set merging technique using inclusion-based fuzzy clustering. IEEE Transactions on Fuzzy Systems, 16(1):145–161, February 2008.
  17. B. Tutmez, A. E. Tercan, and U. Kaymak. An algorithm for quantifying regionalized ore grades. The Journal of The Southern African Institute of Mining and Metallurgy, 108(2):83–90, February 2008.
  18. B. Tutmez and U. Kaymak. Fuzzy optimization of slab production from mechanical stone properties. Structural and Multidisciplinary Optimization, 37(1):71–76, December 2008.
  19. Ludo Waltman and Uzay Kaymak. Q-learning agents in a Cournot oligopoly model. Journal of Economic Dynamics and Control, 32(10):3275–3293, October 2008.
  20. Katalin Boer, Uzay Kaymak, and Jaap Spiering. From discrete-time models to continuous-time, asynchronous modeling of financial markets. Computational Intelligence, 23(2):142–161, May 2007.
  21. B. Tütmez, A. Erhan Tercan, and U. Kaymak. Fuzzy modeling for reserve estimation based on spatial variability. Mathematical Geology, 39(1):87–111, 2007.
  22. David Naso, Michele Surico, Biagio Turchiano, and Uzay Kaymak. Genetic algorithms for supply-chain scheduling: a case study in the distribution of ready-mixed concrete. European Journal of Operational Research, 177(3):2069–2099, 2007.
  23. L. F. Mendonça, J. M. C. Sousa, U. Kaymak, and J. M. G. Sá da Costa. Weighting goals and constraints in fuzzy predictive control. Journal of Intelligent and Fuzzy Systems, 17(5):517–532, 2006.
  24. U. Kaymak. Cognitive and smart adaptation in computer-communication networks. IEEE Transactions on Systems, Man and Cybernetics, Part B, 36(6):1216–1217, December 2006.
  25. Nees Jan van Eck, Ludo Waltman, Jan van den Berg, and Uzay Kaymak. Visualizing the computational intelligence field. IEEE Computational Intelligence Magazine, 1(4):6–10, 2006.
  26. Uzay Kaymak. An MSc program in computational economics with a focus on computational intelligence. IEEE Computational Intelligence Magazine, 1(2):41, May 2006.
  27. R. H. Bosma, Le Thanh Phong, U. Kaymak, J. van den Berg, H. M. J. Udo, M. E. F. van Mensvoort, and Le Quang Tri. Assessing and modelling farmers decision-making on integrating aquaculture into agriculture in the Mekong Delta. NJAS – Wageningen Journal of Life Sciences, 53(3/4):281–300, 2006.
  28. B. Tütmez, Z. Hatipoğlu, and U. Kaymak. Modelling electrical conductivity of groundwater using an adaptive neuro-fuzzy inference system. Computers & Geosciences, 32:421–433, 2006.
  29. Jan van den Berg, Uzay Kaymak, and Willem-Max van den Bergh. Financial markets analysis by using a probabilistic fuzzy modelling approach. International Journal of Approximate Reasoning, 35:291–305, 2004.
  30. U. Kaymak and J. M. Sousa. Weighted constraint aggregation in fuzzy optimization. Constraints, 8(1):29–46, January 2003.
  31. Uzay Kaymak. Data and cluster weighting in target selection based on fuzzy clustering. Lecture Notes in Computer Science, 2715:568–575, 2003.
  32. U. Kaymak, J. P. Verkade, and H. A. B. te Braake. A heuristic lotting method for electronic reverse auctions. Lecture Notes in Computer Science, 2869:322–329, 2003.
  33. L. P. C. Bandeira, J. M. C. Sousa, and U. Kaymak. Fuzzy clustering in classification using weighted features. Lecture Notes in Computer Science, 2715:560–567, 2003.
  34. A. M. G. Cornelissen, J. van den Berg, W. J. Koops, and U. Kaymak. Elicitation of expert knowledge for fuzzy evaluation of agricultural production systems. Agriculture, Ecosystems and Environment, 95(1):1–18, 2003.
  35. Uzay Kaymak and Magne Setnes. Fuzzy clustering with volume prototypes and adaptive cluster merging. IEEE Transactions on Fuzzy Systems, 10(6):705–712, December 2002.
  36. J. van Berkel, U. Kaymak, G. Kulawski, T. Weisenborn, and M. White. Gas field planning tool. Geologie en Mijnbouw: Netherlands Journal of Geosciences, 80(1):103–105, April 2001.
  37. M. Setnes and U. Kaymak. Fuzzy modeling of client preference from large data sets: an application to target selection in direct marketing. IEEE Transactions on Fuzzy Systems, 9(1):153–163, February 2001.
  38. J. M. Sousa and U. Kaymak. Model predictive control using fuzzy decision functions. IEEE Transactions on Systems, Man and Cybernetics, Part B, 31(1):54–65, February 2001.
  39. U. Kaymak, R. Babuška, H.R. van Nauta Lemke, and G. Honderd. A fuzzy logic system for steady–state security analysis of power networks. Journal of Intelligent and Fuzzy Systems, 6:345–359, 1998.
  40. Uzay Kaymak and Hans R. van Nauta Lemke. A sensitivity analysis approach to introducing weight factors into decision functions in fuzzy multicriteria decision making. Fuzzy Sets and Systems, 97(2):169–182, July 1998.
  41. M. Setnes, H. R. van Nauta Lemke, and U. Kaymak. Fuzzy arithmetic-based interpolative reasoning for nonlinear dynamic fuzzy systems. Engineering Applications of AI, 11(6):781–789, December 1998.
  42. M. Setnes, R. Babuška, U. Kaymak, and H. R. van Nauta Lemke. Similarity measures in fuzzy rule base simplification. IEEE Transactions on Systems, Man and Cybernetics, Part B, 28(3):376–386, June 1998.
  43. C. Onnen, R. Babuška, U. Kaymak, J. M. Sousa, H. B. Verbruggen, and R. Isermann. Genetic algorithms for optimization in predictive control. Control Engineering Practice, 5(10):1363–1372, 1997.
  44. Uzay Kaymak, Robert Babuška, and Hans R. van Nauta Lemke. Fuzzy control — theory and design. Journal A, 36(3):4–14, October 1995.

ISI Proceedings indexed papers

  1. U. Kaymak, R. Mans, T. van de Steeg, and M. Dierks. On process mining in health care. In Proceedings of the 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2012), Seoul, Korea, October 2012. To appear.
  2. Pieter van Gorp, Marco Comuzzi, André Fialho, and U. Kaymak. Addressing health information privacy with a novel cloud-based PHR system architecture. In Proceedings of the 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2012), Seoul, Korea, October 2012. To appear.
  3. R. J. Almeida, N. Baştürk, U. Kaymak, and V. Milea. A multi-covariate semi-parametric conditional volatility model using probabilistic fuzzy systems. In Proceedings of the 2012 IEEE International Conference on Computational Intelligence in Financial Engineering and Economics (CIFEr 2012), pages 489–496, New York City, USA, 2012.
  4. A. S. Fialho, U. Kaymak, R. J. Almeida, F. Cismondi, S. M. Vieira, S. Reti, J. M. C. Sousa, and S. N. Finkelstein. Probabilistic fuzzy prediction of mortality in intensive care units. In Proceedings of the 2012 IEEE World Congress on Computational Intelligence, pages 1427–1434, Brisbane, Australia, June 2012.
  5. Rui Jorge Almeida, Thierry Denoeux, and Uzay Kaymak. Constructing rule-based models using the belief functions framework. In Salvatore Greco, Bernadette Bouchon-Meunier, Giulianella Coletti, Mario Fedrizzi, Benedetto Matarazzo, and Ronald R. Yager, editors, Advances in Computational Intelligence, volume 299 of Communications in Computer and Information Science, pages 554–563. Springer, Heidelberg, 2012.
  6. A. C. Hogenboom, F. P. Hogenboom, F. Frasincar, U. Kaymak, O. van der Meer, and K. Schouten. Detecting economic events using a semantics-based pipeline. In A. Hameurlain, S. Liddle, K. Schewe, and X. Zhou, editors, Database and Expert Systems Applications (DEXA 2011), volume 6860 of Lecture Notes in Computer Science, pages 440–447, Toulouse, France, 2011. Springer.
  7. A. C. Hogenboom, P. van Iterson, B. M.W. T. Heerschop, F. Frasincar, and U. Kaymak. Determining negation scope and strength in sentiment analysis. In Proceedings of the 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011), pages 2589–2594, Anchorage, Alaska, USA, October 2011.
  8. B. M.W. T. Heerschop, P. van Iterson, A. C. Hogenboom, F. Frasincar, and U. Kaymak. Analyzing sentiment in a large set of web data while accounting for negation. In E. Mugellini, P. S. Szczepaniak, M. C. Pettenati, and M. Sokhn, editors, Advances in Intelligent Web Mastering –3, volume 86 of Advances in Intelligent and Soft Computing, pages 195–205. Springer, 2011.
  9. Viorel Milea, Rui J. Almeida, Uzay Kaymak, and Flavius Frasincar. A fuzzy model of a European index based on automatically extracted content information. In Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, pages 140–147, Paris, France, April 2011.
  10. R. Pereira, A. Fialho, F. Cismondi, S. Vieira, J. Sousa, R. Almeida, U. Kaymak, S. Reti, M. Howell, and S. Finkelstein. Predicting septic shock outcomes in a database with missing data using fuzzy modeling. In Proceedings of the 2011 IEEE International Conference on Fuzzy Systems, pages 2507–2512, Taipei, Taiwan, June 2011.
  11. R. J. Almeida and U. Kaymak. TS-models from evidential clustering. In E. Hüllermeier, R. Kruse, and F. Hoffmann, editors, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods — Part I, volume 80 of Communications in Computer and Information Science, pages 228–237. Springer, Berlin, 2010.
  12. A. C. Hogenboom, F. P. Hogenboom, U. Kaymak, P. Wouters, and F. M. G. de Jong. Mining economic sentiment using argumentation structures. In J. Trujillo, G. Dobbie, S. Hartmann H. Kangassalo, M. Kirchberg, M. Rossi, I. Reinhartz-Berger, E. Zimnyi, and F. Frasincar, editors, Advances in Conceptual Modeling Applications and Challenges, volume 6413 of Lecture Notes in Computer Science, pages 200–209. Springer, 2010.
  13. F. P. Hogenboom, A. C. Hogenboom, F. Frasincar, U. Kaymak, O. van der Meer, K. Schouten, and D. Vandic. SPEED: A semantics-based pipeline for economic event detection. In J. Parsons, M. Saeki, P. Shoval, C.Woo, and Y. Wand, editors, Conceptual Modeling – ER 2010, volume 6412 of Lecture Notes in Computer Science, pages 452–457. Springer, 2010.
  14. A. C. Hogenboom, D. V. Milea, F. Frasincar, and U. Kaymak. RCQ-GA: RDF chain query optimization using genetic algorithms. In T. di Noia and F. Buccafurri, editors, E-Commerce andWeb Technologies, volume 5692 of Lecture Notes in Computer Science, pages 181–192. Springer, Berlin, 2009.
  15. R. J. Almeida, S. Vieira, V. Milea, U. Kaymak, and J. M. C. Sousa. Knowledge discovery in the prediction of bankruptcy. In J. P. Carvalho, D. Dubois, U. Kaymak, and J. M. C. Sousa, editors, Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), pages 1785–1790, Lisbon, Portugal, July 2009.
  16. R. J. Almeida and U. Kaymak. Tail point density estimation using probabilistic fuzzy systems. In J. P. Carvalho,D. Dubois, U. Kaymak, and J. M. C. Sousa, editors, Proceedings of the Joint 2009 International FuzzySystems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference(IFSA/EUSFLAT 2009), pages 1809–1814, Lisbon, Portugal, July 2009.
  17. M. Lovric, R. J. Almeida, U. Kaymak, and J. Spronk. Modeling investor optimism with fuzzy connectives.In J. P. Carvalho, D. Dubois, U. Kaymak, and J. M. C. Sousa, editors, Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), pages 1803–1808, Lisbon, Portugal, July 2009.
  18. Bulent Tutmez, A. Erhan Tercan, Uzay Kaymak, and Christopher D. Lloyd. Local models for the analysis of spatially varying relationships in a lignite deposit. In Proceedings of the 2009 IFSA World Congress (IFSA 2009), pages 351–356, Lisbon, Portugal, July 2009.
  19. S. M. Vieira, J. M. C. Sousa, and U. Kaymak. Feature selection using fuzzy objective functions. In J. P. Carvalho, D. Dubois, U. Kaymak, and J. M. C. Sousa, editors, Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), pages 1673–1678, Lisbon, Portugal, July 2009.
  20. Milan Lovric, Uzay Kaymak, and Jaap Spronk. Overconfident investors in the LLS agent-based artificial financial market. In Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Financial Engineering, 2009 IEEE Symposium Series on Computational Intelligence, pages 58–65, Nashville, TN, USA, March 2009.
  21. R. J. Almeida, U. Kaymak, and J. M. C. Sousa. Fuzzy rule extraction from typicality and membership partitions. In Proceedings of the 2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008), pages 1964–1970, Hong Kong, June 2008.
  22. Du Xu and Uzay Kaymak. Value-at-risk estimation by using probabilistic fuzzy systems. In Proceedings of the 2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008), pages 2109–2116, Hong Kong, June 2008.
  23. V. Milea, M. Mrissa, K. van der Sluijs, and U. Kaymak. On temporal cardinality in the context of the TOWL language. In Il-Yeol Song et al., editor, Advances in Conceptual Modeling — Challenges and Opportunities, volume 5232 of Lecture Notes in Computer Science, pages 457–466. Springer, Berlin, October 2008.
  24. Ankit Soni, Nees Jan van Eck, and Uzay Kaymak. Prediction of stock price movements based on concept map information. In Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, pages 205–211, Hawaii, USA, April 2007.
  25. Ludo Waltman and Uzay Kaymak. A theoretical analysis of cooperative behavior in multi-agent Q-learning. In Proceedings of the IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning, pages 84–91, Hawaii, USA, April 2007.
  26. B. Tütmez, A. Dağ, A. E. Tercan, and U. Kaymak. Lignite thickness estimation via adaptive fuzzy-neural network. In C. Karpuz, M. A. Hindistan, and A. E. Tercan, editors, Proceedings of the 20th International Mining Congress and Exhibition of Turkey (IMCET2007), pages 151–157, Ankara, Turkey, June 2007.
  27. Michele Surico, Uzay Kaymak, David Naso, and Rommert Dekker. A bi-objective evolutionary approach to robust scheduling. In Proceedings of the 2007 IEEE International Conference on Fuzzy Systems, pages 1632–1637, July 2007.
  28. Bülent Tütmez and Uzay Kaymak. Measure of uncertainty in regional grade variability. In P. Melin, O. Castillo, E. G. Ramírez, J. Kacprzyk, and W. Pedrycz, editors, Analysis and Design of Intelligent Systems Using Soft Computing Techniques, volume 41 of Advances in Soft Computing, pages 511–518. Springer, Berlin, 2007.
  29. Tim van Tongeren, Uzay Kaymak, David Naso, and Eelco van Asperen. Q-learning in a competitive supply chain. In Proceedings of the 2007 IEEE International Conference on Systems, Man and Cybernetics, pages 1211–1216, Montreal, Canada, October 2007.
  30. J. M. Faria, C. A. Silva, J. M. C. Sousa, M. Surico, and U. Kaymak. Distributed optimization using ant colony optimization in a concrete delivery supply chain. In Proceedings of the 2006 IEEE World Congress on Computational Intelligence, pages 380 – 387, Vancouver, Canada, July 2006.
  31. N. J. van Eck, L. Waltman, J. van den Berg, and U. Kaymak. Visualizing the WCCI 2006 knowledge domain. In Proceedings of the 2006 IEEE World Congress on Computational Intelligence, pages 7862 – 7869, Vancouver, Canada, July 2006.
  32. M. D. de Gelder, U. Kaymak, K. Boer, and E. van Asperen. Minority games with asynchronous trading. In Proceedings of the 2005 ICSC Congress on Computational Intelligence Methods and Applications, Istanbul, Turkey, December 2005.
  33. Korneel Duyvesteyn and Uzay Kaymak. Genetic programming in economic modelling. In Proceedings of the 2005 IEEE Congress on Evolutionary Computation, pages 1025–1031, Edinburgh, Scotland, September 2005.
  34. R. H. Bosma, U. Kaymak, J. van den Berg, and H. M. Udo. Fuzzy modelling of farmer motivations for integrated farming in the Vietnamese Mekong Delta. In Proceedings of the 14th Annual IEEE International Conference on Fuzzy Systems, pages 827–832, Reno, Nevada, USA, May 2005.
  35. L. Waltman, U. Kaymak, and J. van den Berg. Maximum likelihood parameter estimation in probabilistic fuzzy classifiers. In Proceedings of the 14th Annual IEEE International Conference on Fuzzy Systems, pages 1098–1103, Reno, Nevada, USA, May 2005.
  36. Jan van den Berg and Uzay Kaymak. On the notion of statistical fuzzy entropy. In M. López-Diaz, M. A. Gil, P. Grzegorzewski, O. Hyrniewicz, and J. Lawry, editors, Soft Methodology and Random Information Systems, Advances in Soft Computing, pages 535–542. Springer, Berlin, September 2004.
  37. Uzay Kaymak and Jan van den Berg. On constructing probabilistic fuzzy classifiers from weighted fuzzy clustering. In Proceedings of the 2004 IEEE International Conference on Fuzzy Systems, Budapest, Hungary, July 2004.
  38. D. Naso, M. Surico, B. Turchiano, and U. Kaymak. Just-in-time production and delivery in supply chains: a hybrid evolutionary approach. In Proceedings of the 2004 IEEE International Conference on Systems, Man and Cybernetics, pages 1932–1937, The Hague, The Netherlands, October 2004.
  39. A. M. G. Cornelissen, U. Kaymak, J. van den Berg, and W. J. Koops. Transition interval estimation to elicit membership functions in fuzzy evaluation models of animal production systems. In Proceedings of the 2003 IEEE International Conference on Fuzzy Systems, volume 1, pages 1200–1205, St. Louis, USA, May 2003.
  40. L. F. Mendonça, J. M. Sousa, U. Kaymak, and J. M. Sá da Costa. Fuzzy issues in multivariable predictive control. In Proceedings of the 2003 IEEE International Conference on Fuzzy Systems, volume 1, pages 506–511, St. Louis, USA, May 2003.
  41. João M. Sousa, Sara Madeira, and Uzay Kaymak. Modeling charity donations using target selection for revenue maximization. In Proceedings of the 2003 IEEE International Conference on Fuzzy Systems, volume 1, pages 654–659, St. Louis, USA, May 2003.
  42. R. Babuška, P. J. van der Veen, and U. Kaymak. Improved covariance estimation for Gustafson–Kessel clustering. In Proceedings of 2002 IEEE International Conference on Fuzzy Systems, pages 1081–1085, Honolulu, Hawaii, May 2002.
  43. Jan van den Berg, Uzay Kaymak, and Willem-Max van den Bergh. Probabilistic reasoning in fuzzy rule-based systems. In Przemysław Grzegorzewski, Olgierd Hryniewicz, and María Á . Gil, editors, Soft Methods in Probability, Statistics and Data Analysis, Advances in Soft Computing, pages 189–196. Physica Verlag, Heidelberg, 2002.
  44. Jan van den Berg, Uzay Kaymak, and Willem-Max van den Bergh. Fuzzy classification using probability-based rule weighting. In Proceedings of 2002 IEEE International Conference on Fuzzy Systems, pages 991–996, Honolulu, Hawaii, May 2002.
  45. João M. Sousa, Uzay Kaymak, and Sara Madeira. A comparative study of fuzzy target selection methods in direct marketing. In Proceedings of 2002 IEEE International Conference on Fuzzy Systems, pages 1251–1256, Honolulu, Hawaii, May 2002.
  46. U. Kaymak and J. M. Sousa. Weighting of constraints in fuzzy optimization. In Proceedings of the Tenth IEEE International Conference on Fuzzy Systems, volume 3, pages 1131–1134, Melbourne, Australia, December 2001.
  47. Uzay Kaymak. Fuzzy target selection using RFM variables. In Proceedings of Joint 9th IFSAWorld Congress and 20th NAFIPS International Conference, pages 1038–1043, Vancouver, Canada, July 2001.
  48. Jan van den Berg, Willem Max van den Bergh, and Uzay Kaymak. Probabilistic and statistical fuzzy set foundations of competitive exception learning. In Proceedings of the Tenth IEEE International Conference on Fuzzy Systems, volume 2, pages 1035–1038, Melbourne, Australia, December 2001.
  49. Willem Max van den Bergh, Jan van den Berg, and Uzay Kaymak. Detecting noise trading using fuzzy exception learning. In Proceedings of Joint 9th IFSA World Congress and 20th NAFIPS International Conference, pages 946–951, Vancouver, Canada, July 2001.
  50. U. Kaymak, H. R. van Nauta Lemke, and T. den Boer. A sensitivity-based analysis of weighted fuzzy aggregation. In Proceedings of the IEEE World Congress on Computational Intelligence, pages 755–760, Anchorage, Alaska, May 1998.
  51. M. Setnes, U. Kaymak, and H. R. van Nauta Lemke. Fuzzy target selection in direct marketing. In Proceedings of Conference on Computational Intelligence in Financial Engineering, pages 92–97, New York, March 1998.
  52. J. M. Sousa, M. Setnes, and U. Kaymak. Adaptive decision alternatives in fuzzy predictive control. In Proceedings of the IEEEWorld Congress on Computational Intelligence, pages 698–703, Anchorage, Alaska, May 1998.
  53. U. Kaymak, J. M. Sousa, and H. B. Verbruggen. A comparative study of fuzzy and conventional criteria in model-based predictive control. In Proceedings of the Sixth IEEE International Conference on Fuzzy Systems, pages 907–914, Barcelona, Spain, July 1997.
  54. M. Setnes, U. Kaymak, H. R. van Nauta Lemke, and H. B. Verbruggen. Fuzzy arithmetic based interpolative reasoning. In Preprints of IFAC Symposium on Artificial Intelligence in Real-Time Control, pages 434–439, Kuala Lumpur, Malaysia, September 1997.
  55. J. M. Sousa, U. Kaymak, P. M. Bruijn, and H. B. Verbruggen. Branch-and-bound optimization in predictive control with fuzzy decision functions. In Proceedings of IFAC International Workshop on Artificial Intelligence in Real-Time Control, pages 481–486, Kuala Lumpur, Malaysia, September 1997.
  56. U. Kaymak, H. R. van Nauta Lemke, and P. M. Bruijn. Using decision functions for nonlinear controller design. In Proceedings of the Fifth International Conference on Fuzzy Systems, pages 1788–1793, New Orleans, USA, September 1996.
  57. R. Babuška, C. Fantuzzi, U. Kaymak, and H. B. Verbruggen. Improved inference for Takagi–Sugeno models. In Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, pages 701–706, New Orleans, USA, 1996.
  58. R. Babuška, M. Setnes, U. Kaymak, and H. R. van Nauta Lemke. Rule base simplification with similarity measures. In Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, volume 3, pages 1642–1647, New Orleans, USA, 1996.
  59. J. M. Sousa, U. Kaymak, M. Verhaegen, and H. B. Verbruggen. Convex optimization in fuzzy predictive control. In Proceedings of the 35th IEEE Conference on Decision and Control, pages 2735–2740, Kobe, Japan, 1996.
  60. Uzay Kaymak and Robert Babuška. Compatible cluster merging for fuzzy modelling. In Proceedings of the Fourth IEEE International Conference on Fuzzy Systems, volume 2, pages 897–904, Yokohama, Japan, March 1995.
  61. Uzay Kaymak and Hans R. van Nauta Lemke. Selecting an aggregation operator for fuzzy decision making. In Proceedings of Third IEEE International Conference on Fuzzy Systems, volume 2, pages 1418–1422, June 1994.
  62. Uzay Kaymak and Hans R. van Nauta Lemke. A parametric generalized goal function for fuzzy decision making with unequally weighted objectives. In Proceedings of the Second IEEE International Conference on Fuzzy Systems, volume 2, pages 1156–1160, March 1993.

Conference papers

  1. F. P. Hogenboom, F. Frasincar, U. Kaymak, and F. M. G. de Jong. An overview of event extraction from text. In M. van Erp,W. R. van Hage, L. Hollink, A. Jameson, and R. Troncy, editors, Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2011), pages 48–57, Bonn, Germany, 2011.
  2. B. M. W. T. Heerschop, F. Goossen, A. C. Hogenboom, F. Frasincar, U. Kaymak, and F. de Jong. Polarity analysis of texts using discourse structure. In Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM 2011), pages 1061–1070, Glasgow, UK, October 2011.
  3. J. van der Meer, F. Boon, F. P. Hogenboom, F. Frasincar, and U. Kaymak. A framework for automatic annotation of web pages using the Google rich snippets vocabulary. In Twenty-Sixth Symposium on Applied Computing (SAC 2011), pages 765–772, TaiChung, Taiwan, 2011. ACM.
  4. F. Goossen, W. Ijntema, F. Frasincar, F. P. Hogenboom, and U. Kaymak. News personalization using the CF-IDF semantic recommender. In Proceedings of the International Conference on Web Intelligence, Mining and Semantics (WIMS’11), pages 10:1–10:12, Sogndal, Norway, May 2011. ACM.
  5. R. J. Almeida, U. Kaymak, and J. M. C. Sousa. A new approach to dealing with missing values in data-driven fuzzy modeling. In Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010), pages 312–318, Barcelona, Spain, 2010.
  6. F. P. Hogenboom, F. Frasincar, and U. Kaymak. A review of approaches for representing RCC8 in OWL. In Proceedings of the 2010 ACM Symposium on Applied Computing (SAC 2010), volume 2, pages 1444–1445. ACM, 2010.
  7. F. P. Hogenboom, F. Frasincar, and U. Kaymak. An overview of approaches to extract information from natural language corpora. In Tenth Dutch–Belgian Information Retrieval Workshop (DIR 2010), pages 69–70, 2010.
  8. F. P. Hogenboom, B. Borgman, F. Frasincar, and U. Kaymak. Spatial knowledge representation on the semantic web. In Proceedings of the Fourth IEEE International Conference on Semantic Computing (ICSC 2010), pages 252–259, Pittsburgh, PA, USA, 2010. IEEE Computer Society.
  9. A. C. Hogenboom, F. P. Hogenboom, U. Kaymak,W. Ketter, J. van Dalen, and J. Collins. Towards a dynamic model of supply chain regimes for complex multi-agent markets. In Proceedings of the 2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2010), pages 3219–3225, Istanbul, Turkey, October 2010. IEEE.
  10. D. V. Milea, R. J. Almeida, U. Kaymak, and F. Frasincar. A fuzzy model of the MSCI EURO index based on content analysis of European Central Bank statements. In Proceedings of the 2010 International Conference on Fuzzy Systems (FUZZ-IEEE 2010), pages 154–160, Barcelona, Spain, July 2010.
  11. D. V. Milea, N. M. Sharef, R. J. Almeida, U. Kaymak, and F. Frasincar. Prediction of the MSCI EURO index based on fuzzy grammar fragments extracted from European Central Bank statements. In Proceedings of the International Conference on Soft Computing and Pattern Recognition (SoCPaR 2010), pages 231–236, Paris, France, December 2010.
  12. M. Lovric, U. Kaymak, and J. Spronk. Modeling loss aversion and biased self-attribution using a fuzzy aggregation operator. In Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZIEEE 2010), pages 2297–2304, Barcelona, Spain, July 2010.
  13. S. M. Vieira, U. Kaymak, and J. M. C. Sousa. Cohen’s kappa coefficient as a performance measure for feature selection. In Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010), pages 924–931, Barcelona, Spain, July 2010.
  14. A. Hogenboom, W. Ketter, J. van Dalen, U. Kaymak, J. Collins, and A. Gupta. Product pricing in TAC-SCM using adaptive real-time probability of acceptance estimations based on economic regimes. In Proceedings of the IJCAI-09 Workshop on Trading Agent Design and Analysis (TADA-09), pages 15–24, Pasadena, California, USA, July 2009.
  15. F. Hogenboom, W. Ketter, J. van Dalen, U. Kaymak, J. Collins, and A. Gupta. Economic regime identification and prediction in TAC-SCM using sales and procurement information. In Proceedings of the IJCAI-09 Workshop on Trading Agent Design and Analysis (TADA-09), pages 25–34, Pasadena, California, USA, July 2009.
  16. A. C. Hogenboom, W. Ketter, J. van Dalen, U. Kaymak, J. Collins, and A. Gupta. Adaptive pricing in multi-agent supply chain markets using economic regimes. In Conference on Information Systems and Technology (CIST 2009), October 2009.
  17. F. P. Hogenboom, W. Ketter, J. van Dalen, U. Kaymak, J. Collins, and A. Gupta. Identifying and predicting economic regimes in supply chains using sales and procurement information. In Proceedings of the Eleventh International Conference on Electronic Commerce (ICEC 2009), pages 19–28, Taipei, Taiwan, 2009.
  18. Frederik Hogenboom, Alexander Hogenboom, Ricardo van Gelder, Viorel Milea, Flavius Frasincar, and Uzay Kaymak. Qmap: an RDF-based queryable world map. In M. Naaranoja, editor, Proceedings of the Third International Knowledge Management in Organizations Conference (KMO 2008), pages 99–110, Vaasa, Finland, June 2008.
  19. Viorel Milea, Flavius Frasincar, and Uzay Kaymak. Knowledge engineering in a temporal semantic web context. In Daniel Schwabe, Francisco Curbera, and Paul Dantzig, editors, Proceedings of the Eighth International Conference on Web Engineering (ICWE 2008), pages 65–74, Yorktown Heights, New York, USA, July 2008. IEEE.
  20. R. J. Almeida and U. Kaymak. Value-at-risk estimation with fuzzy histograms. In F. Xhafa, F. Herrera, A. Abraham, M. Köppen, and J. M. B´enitez, editors, Proceedings of the Eighth International Conference on Hybrid Intelligent Systems 2008 (HIS’08), pages 192–197, Barcelona, Spain, September 2008.
  21. A. C. Hogenboom, D. V. Milea, F. Frasincar, and U. Kaymak. Genetic algorithms for RFQ query path optimization. In Proceedings of the First International Workshop on Nature Inspired Reasoning for the Semantic Web, pages 16–30, Karlsruhe, Germany, October 2008.
  22. V. Milea, F. Frasincar, U. Kaymak, and T. di Noia. An owl-based approach towards representing time in web information systems. In Proceedings of the 4th International Workshop on Web Information Systems Modelling (WISM 2007) and the 19th International Conference on Advanced Information Systems Engineering (CAiSE 2007), pages 791–802, Trondheim, Norway, June 2007. Tapir Academic Press.
  23. L. Mast, A. Micu, F. Frasincar, V. Milea, and U. Kaymak. Stockwatcher: A semantic web application for custom selection of financial news. In Second International Conference on Knowledge Management in Organisations (KMO 2007), pages 121–126, Lecce, Italy, September 2007.
  24. Edwin Otten and Uzay Kaymak. Detecting suspicious accounting structures from XBRL reports. In Vasile Georgescu, editor, Proceedings of the XIV Congress of International Association for Fuzzy-Set Management and Economy, pages 192–203, Poiana Brasov, Romania, November 2007.
  25. Wee-Mien Cheung and Uzay Kaymak. A fuzzy logic based trading system. In Proceedings of the Third European Symposium on Nature-inspired Smart Information Systems, St. Julians, Malta, November 2007.
  26. J. A. Larco, U. Kaymak, and R. Dekker. Multi-objective scheduling for distributed security services. In Proceedings of the 2006 European Symposium on Nature-inspired Smart Information Systems, pages 141–148, Tenerife, Spain, December 2006.
  27. V. Milea, E. Miedema, J. van den Berg, and U. Kaymak. Towards modeling traders’ behavior. In Fouad Ben Abdelaziz, editor, Proceedings of the XIII Congress of International Association for Fuzzy Set Management and Economy, pages 161–170, Hammamet, Tunisia, November 2006.
  28. R. H. Bosma, Le Thanh Phong, J. van den Berg, U. Kaymak, H. M. J. Udo, and J. A. J. Verreth. Using fuzzy logic to simulate the composition of farming systems in the Mekong Delta. In Proceedings of the 4th International Seminar on Tropical Animal Production, volume 2, pages 484–494, Yogyakarta, Indonesia, November 2006.
  29. R. J. Almeida, S. M. Vieira, J. M. C. Sousa, and U. Kaymak. The prediction of bankruptcy using weighted fuzzy classifiers. In Proceedings of the III European Conference on Computational Mechanics, Lisbon, Portugal, June 2006.
  30. U. Kaymak, G. Dounias, and N. S. Thomaidis. Financial and managerial benchmark problems for nature inspired intelligence. In Proceedings of the 2005 European Symposium on Nature-inspired Smart Information Systems, Albufeira, Portugal, October 2005.
  31. Ludo Waltman, Uzay Kaymak, and Jan van den Berg. Fuzzy histograms: a statistical analysis. In Proceedings of the Fourth Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2005), pages 605–610, Barcelona, Spain, September 2005.
  32. J. van den Berg, N. J. van Eck, L. Waltman, and U. Kaymak. A VICORE architecture for intelligent knowledge management. In Proceedings of KDNET Symposium on Knowledge-Based Systems and Services for the Public Sector, pages 63–74, Bonn, Germany, June 2004.
  33. Katalin Boer, Arie de Bruin, and Uzay Kaymak. Asynchronous role-based trading in a continuous artificial trading environment. In Proceedings of European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE 2004), pages 54–63, Aachen, Germany, June 2004.
  34. Katalin Boer, Mark Polman, Arie de Bruin, and Uzay Kaymak. An agent-based framework for artificial stock markets. In Proceedings of the Sixteenth Belgium–Netherlands Conference on Artificial Intelligence, pages 83–90, Groningen, the Netherlands, October 2004.
  35. Yuri Hamburger, Uzay Kaymak, and Jan van den Berg. Wavelet-based adaptation of value at risk estimation to different time horizons. In Proceedings of European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE 2004), pages 195–208, Aachen, Germany, June 2004.
  36. Ludo Waltman and Uzay Kaymak. Reinforcement learning in repeated Cournot oligopoly games. In Proceedings of European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE 2004), pages 209–217, Aachen, Germany, June 2004.
  37. Uzay Kaymak, Willem-Max van den Bergh, and Jan van den Berg. A fuzzy additive reasoning scheme for probabilistic Mamdani fuzzy systems. In Proceedings of the 2003 IEEE International Conference on Fuzzy Systems, volume 1, pages 331–336, St. Louis, USA, May 2003.
  38. Uzay Kaymak. Incremental feature selection for probabilistic fuzzy target selection. In Proceedings of European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE 2003), pages 81–90, Oulu, Finland, July 2003.
  39. Uzay Kaymak and Jan van den Berg. On probabilistic connections of fuzzy systems. In Proceedings of the 15th Belgium-Netherlands Artificial Intelligence Conference, pages 187–194, Nijmegen, Netherlands, October 2003.
  40. Katalin Boer and Uzay Kaymak. Microsimulation of artificial stock markets based on trader roles. In Proceedings of the International Workshop on Data Mining and Adaptive Methods for Economics and Management, pages 61–72, Porto, Portugal, September 2003.
  41. Jan van den Berg, Uzay Kaymak, and Willem-Max van den Bergh. Probabilistic reasoning in fuzzy rule-based systems. In Proceedings of 14th Belgium–Netherlands Conference on Artificial Intelligence, pages 11–18, Leuven, Belgium, October 2002. Nominated for conference best paper award.
  42. W. M. van den Bergh, U. Kaymak, and J. van den Berg. On the data-driven design of Takagi–Sugeno probabilistic fuzzy systems. In Proceedings of European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE 2002), pages 363 – 371, Albufeira, Portugal, September 2002.
  43. L. F. Mendonça, J. M. Sousa, U. Kaymak, and J. M. Sá da Costa. Weighted criteria in multivariable fuzzy predictive control. In Proceedings of the 10th Mediterranean Conference on Control and Automation, Lisbon, Portugal, July 2002.
  44. U. Kaymak and K. Boer. An agent-based taxonomy of adaptation in computational economics. In Proceedings of European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE 2001), pages 379 – 385, Tenerife, Spain, December 2001.
  45. W. M. van den Bergh, K. Boer, A. de Bruin, U. Kaymak, and J. Spronk. On intelligent-agent based analysis of financial markets. In Proceedings of the 29th Meeting of EURO Working Group on Financial Modelling, Haarlem, the Netherlands, November 2001.
  46. K. Boer and U. Kaymak. Adaptation in agent-based systems. In Proceedings of the 13th Belgian-Dutch Conference on Artificial Intelligence, pages 347–354, Amsterdam, the Netherlands, October 2001.
  47. A. de Bruin and U. Kaymak. From algorithms to models of economic phenomena. In ERIM Conference on New Organizational Forms, Rotterdam, the Netherlands, November 2001.
  48. Wim Pijls, Rob Potharst, and Uzay Kaymak. Pattern-based target selection applied to fund raising. In W. Gersten and K. Vanhoof, editors, Data Mining for Marketing Applications, ECML/PKDD-2001Workshop, pages 15–24, Freiburg, Germany, September 2001.
  49. Wim Pijls, Rob Potharst, and Uzay Kaymak. Pattern-based target selection applied to fund raising. In Proceedings of the 13th Belgian-Dutch Conference on Artificial Intelligence, pages 211–218, Amsterdam, the Netherlands, October 2001.
  50. U. Kaymak. A unified approach for practical applications of fuzzy clustering. In Proceedings of the Twelfth Belgium-Netherlands Artificial Intelligence Conference, pages 101–108, November 2000. Nominated for conference best paper award.
  51. Uzay Kaymak and Magne Setnes. Fuzzy clustering based target selection. In Proceedings of the Twelfth Belgium-Netherlands Artificial Intelligence Conference, pages 109–116, November 2000.
  52. M. Setnes and U. Kaymak. Extended fuzzy c-means with volume prototypes and cluster merging. In Proceedings of Sixth European Congress on Intelligent Techniques and Soft Computing, volume 2, pages 1360–1364. ELITE, September 1998.
  53. U. Kaymak and J. M. Sousa. Model based fuzzy predictive control applied to a simulated gantry crane. In Proceedings of 2nd Asian Control Conference, pages III–455 — III–458, Seoul, Korea, July 1997.
  54. R. Babuška, M. Setnes, U. Kaymak, and H. B. Verbruggen. Fuzzy modeling: principles, methods and applications. In Proceedings of Summer School on Computational Intelligence in Simulation, pages 1–32, Oulu, Finland, May 1997.
  55. R. Babuška, M. Setnes, U. Kaymak, and H. B. Verbruggen. Fuzzy modeling: a universal and transparent tool. In L. Yliniemi and E. Juuso, editors, Proceedings of TOOLMET’97 – Tool Environments and Development Methods for Intelligent Systems, pages 1–27, Helsinki, Finland, April 1997.
  56. N.W. Bormans, M. Setnes, U. Kaymak, H. R. van Nauta Lemke, and P. H. M. Kuys. Application of fuzzy sets to finance and insurance. In Proceedings of the Sixth International Conference on Man Machine Interaction and Intelligent Systems in Business, Interfaces’97, pages 189–191, Montpellier, France, May 1997.
  57. D. Holt, U. Kaymak, J. B. Klaassens, and H. R. van Nauta Lemke. A fuzzy decision support system for designing magnetic components. In Seventh European Conference on Power Electronics and Applications, pages 2.022–2.027, Trondheim, Norway, September 1997.
  58. U. Kaymak, R. Babuška, and H. R. van Nauta Lemke. A defuzzification method with unequal sensitivity to domain elements. In Proceedings of Fourth European Congress on Intelligent Techniques and Soft Computing, pages 695–699, Aachen, Germany, September 1996.
  59. U. Kaymak, J. M. Sousa, and H. B. Verbruggen. Influence of decision functions in fuzzy predictive control. In Proceedings of Fourth European Congress on Intelligent Techniques and Soft Computing, volume 2, pages 990–994, Aachen, Germany, September 1996.
  60. R. Babuška, M. Setnes, U. Kaymak, and H. R. van Nauta Lemke. Simplification of fuzzy rule bases. In Proceedings of Fourth European Congress on Intelligent Techniques and Soft Computing, pages 1115–1119, Aachen, Germany, September 1996.
  61. J. Heydeman, R. Reijntjes, R. Babuška, U. Kaymak, and H. R. van Nauta Lemke. Fuzzy logic based security assessment of power networks. In Proceedings International Conference on Intelligent Systems Applications to Power Systems ISAP’96, pages 405–409, Orlando, Fl., Jan 1996.
  62. D. Holt, U. Kaymak, J. B. Klaassens, and H. R. van Nauta Lemke. A fuzzy decision support system for magnetic component design. In Proceedings of the XV European Annual Conference on Human Decision Making and Manual Control, pages 2.1–1–2.1–7, Soesterberg, the Netherlands, June 1996.
  63. Uzay Kaymak, Robert Babuška, and H. R. van Nauta Lemke. A fuzzy logic decision support system for security analysis of power systems. In Proceedings of the XIV European Annual Conference on Human Decision Making and Manual Control, pages 5–1— 5–9, Delft, the Netherlands, June 1995.
  64. Robert Babuška and Uzay Kaymak. Application of compatible cluster merging to fuzzy modeling of multivariable systems. In Proceedings of the Third European Congress on Intelligent Techniques and Soft Computing, volume 2, pages 565–569, Aachen, Germany, August 1995.
  65. H. E. Braam, U. Kaymak, and H. R. van Nauta Lemke. A method for consistency analysis in decision making with pairwise comparisons. In Proceedings of the Third European Congress on Intelligent Techniques and Soft Computing, volume 2, pages 1236–1240, Aachen, Germany, August 1995.
  66. Uzay Kaymak and Hans R. van Nauta Lemke. A comparative study of decision functions. In Proceedings of Second European Congress on Intelligent Techniques and Soft Computing, volume 2, pages 875–879, September 1994.

Conference abstracts

  1. R. J. Almeida, N. Baştürk, U. Kaymak, and J. M. C. Sousa. Fuzzy GARCH models. In Book of Abstracts of the Fifth International Conference on Computational and Financial Econometrics and Fourth Workshop of the ERCIM Working Group on Computing and Statistics (CFE’11 & ERCIM’11), page 114, London, United Kingdom, December 2011.
  2. A. Hogenboom, P. van Iterson, B. Heerschop, F. Frasincar, and U. Kaymak. Analyzing sentiment while accounting for negation scope and strength. In Proceedings of the Twenty-Third Benelux Conference on Artificial Intelligence (BNAIC 2011), pages 395–396, Gent, Belgium, 2011.
  3. F. P. Hogenboom, F. Frasincar, U. Kaymak, and F. M. G. de Jong. News recommendations using CF-IDF. In Proceedings of the Twenty-Third Benelux Conference on Artificial Intelligence (BNAIC 2011), pages 397–398, Gent, Belgium, 2011.
  4. B. M.W. T. Heerschop, P. van Iterson, A. C. Hogenboom, F. Frasincar, and U. Kaymak. Accounting for negation in sentiment analysis. In Proceedings of the Eleventh Dutch–Belgian Information Retrieval Workshop (DIR 2011), pages 38–39, 2011.
  5. F. P. Hogenboom, F. Frasincar, D. Vandic, J. van der Meer, F. Boon, and U. Kaymak. Automatically annotating web pages using Google rich snippets. In Proceedings of the Eleventh Dutch–Belgian Information Retrieval Workshop (DIR 2011), pages 42–43, 2011.
  6. F. P. Hogenboom, F. Frasincar, and U. Kaymak. Semantic web-based knowledge acquisition using key events from news. In G. Danoy, M. Seredynski, R. Booth, B. Gateau, I. Jars, and D. Khadraoui, editors,Proceedings of the Twenty-Second Benelux Conference on Artificial Intelligence (BNAIC 2010), pages 261–262, Luxembourg, Luxembourg, October 2010.
  7. F. P. Hogenboom, D. V. Milea, F. Frasincar, and U. Kaymak. Graphically querying RDF using RDF-GL. InDutch–Belgian Database Day 2010 (DBDBD 2010), Hasselt, Belgium, November 2010.
  8. A. C. Hogenboom, D. V. Milea, F. Frasincar, and U. Kaymak. Optimizing RDF chain queries using genetic algorithms. In Dutch–Belgian Database Day 2010 (DBDBD 2010), Hasselt, Belgium, November 2010.
  9. R. J. Almeida and U. Kaymak. Takagi-Sugeno belief models. In Book of Abstracts of Third International Conference on Computational and Financial Econometrics and Second Workshop of the ERCIM Working Group on Computing and Statistics, page 3, October 2009.
  10. A. C. Hogenboom, D. V. Milea, F. Frasincar, and U. Kaymak. Genetic algorithms for RDF chain query optimization. In T. Calders, K. Tuyls, and M. Pechenizkiy, editors, Proceedings of the Twenty-First Benelux Conference on Artificial Intelligence (BNAIC 2009), pages 327–328, Eindhoven, The Netherlands, October 2009.
  11. A. C. Hogenboom, W. Ketter, J. van Dalen, U. Kaymak, J. Collins, and A. Gupta. Product pricing using adaptive real-time probability of acceptance estimations based on economic regimes. In Proceedings of the Eleventh International Conference on Electronic Commerce (ICEC 2009), pages 176–185. ACM, 2009. Best Paper Award Nomination.
  12. F. P. Hogenboom, F. Frasincar, and U. Kaymak. A survey of approaches on mining the structure from unstructured data. In Dutch–Belgian Database Day 2009 (DBDBD 2009), Delft, The Netherlands, November 2009.
  13. V. Milea, F. Frasincar, and U. Kaymak. The tOWL temporal web ontology language. In Anton Nijholt, Maja Pantic, Mannes Poel, and Hendri Hondorp, editors, Proceedings of the 20th Belgian–Dutch Artificial Intelligence Conference (BNAIC 2008), pages 343–344, Bad Boekelo, The Netherlands, November 2008.
  14. M. Lovric, U. Kaymak, and J. Spronk. A conceptual model of investor behavior. In Workshop Summary EUCognition CogSys Doctoral Consortium, page 2, June 2008.
  15. W. Hinojosa, S. Nefti, John Gray, and U. Kaymak. Reinforcement learning for multi-action probabilistic fuzzy controllers. In Workshop Summary EUCognition CogSys Doctoral Consortium, page 3, June 2008.
  16. R. J. Almeida and U. Kaymak. Value-at-risk estimation with fuzzy histograms. III European Congress of Methodology (ECM 2008), July 2008.
  17. Katalin Boer, Uzay Kaymak, and Jaap Spiering. From discrete-time models to continuous-time, asynchronous modeling of financial markets. In M. M. Dastani and E. de Jong, editors, Proceedings of the 19th Belgian–Dutch Conference on Artificial Intelligence, pages 317–318, Utrecht, The Netherlands, November 2007.
  18. V. Milea, F. Frasincar, U. Kaymak, and T. di Noia. An OWL-based approach towards representing time in web information systems. In M. M. Dastani and E. de Jong, editors, Proceedings of the 19th Belgian–Dutch Conference on Artificial Intelligence (BNAIC 2007), pages 381–382, Utrecht, The Netherlands, November 2007.
  19. N. J. van Eck, L. Waltman, J. van den Berg, and U. Kaymak. On the visualization of the soft computing knowledge domain. In E. Hüllermeier, R. Kruse, A. Nürnberger, and J. Strackeljan, editors, Proceedings of the Symposium on Fuzzy Systems in Computer Science, pages 96–97, Magdeburg, Germany, September 2006.
  20. R. H. Bosma, U. Kaymak, J. van den Berg, H. M. Udo, and J. Verreth. Analysing Mekong Delta farmers’ motivations for aquaculture with fuzzy logic. In Abstracts World Aquaculture 2005: a conference of the WAS (World Aquaculture Society), page 91, Nusa Dua, Bali, Indonesia, May 2005.
  21. Jan van den Berg, Uzay Kaymak, and Willem-Max van den Bergh. Fuzzy classification by using probability-based rule weighting. In Proceedings of 14th Belgium–Netherlands Conference on Artificial Intelligence, pages 401–402, Leuven, Belgium, October 2002.
  22. U. Kaymak and M. Setnes. Fuzzy clustering for target selection in direct marketing. In Abstracts of the European Operational Research Conference, page 103, Rotterdam, the Netherlands, July 2001.
  23. Willem-Max van den Bergh, Jan van den Berg, and Uzay Kaymak. Fuzzy exception learning for noise trading unmasking. In Abstracts of the European Operational Research Conference, page 103, Rotterdam, the Netherlands, July 2001.
  24. Willem-Max van den Bergh, Jan van den Berg, and U. Kaymak. Detecting noise trading using fuzzy exception learning. In Proceedings of the 13th Belgian-Dutch Conference on Artificial Intelligence, pages 337–338, Amsterdam, the Netherlands, October 2001.
  25. Rob Potharst, Uzay Kaymak, and Wim Pijls. Selecting targets for a charity organization by using neural networks. In Abstracts of the European Operational Research Conference, page 103, Rotterdam, the Netherlands, July 2001.
  26. U. Kaymak, H. R. van Nauta Lemke, and P. M. Bruijn. Design of nonlinear controllers using decision functions. In Book of Abstracts, 15th Benelux Meeting on Systems and Control, page 220, Mierlo, the Netherlands, March 1996.
  27. M. Setnes, R. Babuška, and U. Kaymak. Simplifying fuzzy rule bases using similarity measures. In Book of Abstracts, 15th Benelux Meeting on Systems and Control, page 222, Mierlo, the Netherlands, March 1996.
  28. J. M. Sousa and U. Kaymak. Predictive control using fuzzy decision functions. In Book of Abstracts, 15th Benelux Meeting on Systems and Control, page 223, Mierlo, the Netherlands, March 1996.
  29. Uzay Kaymak and Robert Babuška. A cluster merging method for fuzzy modelling. In Book of Abstracts, 14th Benelux Meeting on Systems and Control, page 96, Houthalen, Belgium, March 1995.
  30. Uzay Kaymak. Generalized averaging operators in modelling human decision behaviour. In Book of Abstracts, 13th Benelux Meeting on Systems and Control, page 69, Veldhoven, the Netherlands, March 1994.

Theses and technical reports

  1. J. van den Berg, U. Kaymak, and R. J. Almeida. Function approximation using probabilistic fuzzy systems. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, 2011. ERS-2011-026-LIS.
  2. L. Waltman, N. J. van Eck, R. Dekker, and U. Kaymak. An evolutionary model of price competition among spatially distributed firms. Econometric institute report, Econometric Institute, Erasmus University Rotterdam, the Netherlands, 2011. EI 2011-09.
  3. U. Kaymak, A. Ben-David, and R. Potharst. AUK: a simple alternative to the AUC. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, 2010. ERS-2010-024-LIS.
  4. G. Budai, R. Dekker, and U. Kaymak. Genetic and memetic algorithms for scheduling railway maintenance activities. EI reprint series, Econometric Institute, Erasmus University Rotterdam, Netherlands, 2009. EI–2009–30.
  5. V. Milea, F. Frasincar, and U. Kaymak. A temporal web ontology language. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, 2009. ERS-2009-050-LIS.
  6. M. Lovric, U. Kaymak, and J. Spronk. A conceptual model of investor behavior. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, June 2008. ERS-2008-030-F&A.
  7. D. Naso, M. Surico, B. Turchiano, and U. Kaymak. Genetic algorithms for supply-chain scheduling: a case study in the distribution of ready-mixed concrete. EI reprint series, Econometric Institute, Erasmus University Rotterdam, Netherlands, July 2007. EI-1448.
  8. Jose Antonio Larco, Rommert Dekker, and Uzay Kaymak. Distributed services with foreseen and unforeseen tasks: The mobile re-allocation problem. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, December 2007. ERS-2007-087-LIS.
  9. Patrick J. F. Groenen, Uzay Kaymak, and Joost van Rosmalen. Fuzzy clustering with Minkowski distance functions. Econometric institute report, Erasmus University Rotterdam, Rotterdam, The Netherlands, July 2006. EI 2006-24.
  10. M. Surico, U. Kaymak, D. Naso, and R. Dekker. Hybrid meta-heuristics for robust scheduling. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, March 2006. ERS-2006-018-LIS.
  11. Katalin Boer, Uzay Kaymak, and Jaap Spiering. From discrete-time models to continuous-time, asynchronous modeling of financial markets. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, March 2006. ERS-2006-009-LIS.
  12. L.Waltman and U. Kaymak. A theoretical analysis of cooperative behavior in multi-agent Q-learning. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, February 2006. ERS-2006-006-LIS.
  13. Katalin Boer, Uzay Kaymak, and Arie de Bruin. A modular agent-based environment for studying stock markets. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, April 2005. ERS-2005-017-LIS.
  14. K. Boer, A. de Bruin, and U. Kaymak. On the design of artificial stock markets. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, January 2005. ERS-2005-001-LIS.
  15. D. Naso, M. Surico, B. Turchiano, and U. Kaymak. Genetic algorithms in supply chain scheduling of ready-mixed concrete. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, October 2004. ERS-2004-096-LIS.
  16. Uzay Kaymak, J. P. Verkade, and H. A. B. te Braake. A lotting method for electronic reverse auctions. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, May 2003. ERS-2003-042-LIS.
  17. Jan van den Berg, Uzay Kaymak, and Willem-Max van den Bergh. Financial markets analysis by probabilistic fuzzy modelling. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, April 2003. ERS-2003-036-LIS.
  18. A. M. G. Cornelissen, J. van den Berg, W. J. Koops, and U. Kaymak. Eliciting expert knowledge for fuzzy evaluation of agricultural production systems. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, the Netherlands, November 2002. ERS-2002-108-LIS.
  19. U. Kaymak and J. M. Sousa. Weighted constraints in fuzzy optimization. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, Netherlands, March 2001. ERS-2001-19-LIS.
  20. J. van den Berg, W. M. van den Bergh, and U. Kaymak. Probabilistic and statistical fuzzy set foundations of competitive exception learning. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, Netherlands, July 2001. ERS-2001-40-LIS.
  21. Wim Pijls, Rob Potharst, and Uzay Kaymak. Pattern-based target selection applied to fund raising. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, Netherlands, October 2001. ERS-2001-56-LIS.
  22. Rob Potharst, Uzay Kaymak, and Wim Pijls. Neural networks for target selection in direct marketing. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, Netherlands, March 2001. ERS-2001-14-LIS.
  23. J. Tseng, B. de Kort, M. P. A. van Oosterhout, U. Kaymak, J. Koolwaaij, and L. Verspui. Collaborative e-business scenarios. Technical report, Erasmus University Centre for Contract Research and Business Support, Rotterdam, the Netherlands, October 2001. GigaPort Virtuele Haven / T2.D5.
  24. Uzay Kaymak and Magne Setnes. Extended fuzzy clustering algorithms. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, Netherlands, November 2000. ERS-2000-51-LIS.
  25. Uzay Kaymak. Lecture notes for computer systems and telematics B. a2037, Erasmus University Rotterdam, Faculty of Economics, Dept. of Computer Science, November 2000.
  26. U. Kaymak and M. Setnes. Target selection based on fuzzy clustering: a volume prototype approach to CoIL Challenge 2000. In P. van der Putten and M. van Someren, editors, CoIL Challenge 2000: The Insurance Company Case. Leiden Institute of Advanced Computer Science, June 2000. Technical Report 2000-09.
  27. Magne Setnes and Uzay Kaymak. Fuzzy modeling of client preference in data-rich marketing environments. ERIM report series Research in Management, Erasmus Research Institute of Management, Erasmus University Rotterdam, Netherlands, August 2000. ERS-2000-49-LIS.
  28. Uzay Kaymak. Fuzzy Decision Making with Control Applications. Ph.D. thesis, Delft University of Technology, P.O. Box 5031, 2600 GA, Delft, the Netherlands, November 1998.
  29. S. P. Hoogendoorn, G. Copinga, and U. Kaymak. Perspectives of fuzzy logic in traffic engineering. Technical report, TRAIL Research School, P.O. Box 5048, 2600 GA, Delft, January 1998. Research results on behalf of Transport Research Centre, Dutch Ministry of Public Works and Water Management.
  30. Uzay Kaymak. Application of fuzzy methodologies to a washing process. Chartered designer thesis, Delft University of Technology, Control Lab., Faculty of El. Eng., Delft, December 1994. (TWAIO 94.054).
  31. R.M.L. Frenken et al. Applications of modern computational methods to security analysis of power networks. Research report, KEMA, Arnhem, the Netherlands, December 1994. (51734-PCL 94-3850).
  32. Uzay Kaymak. Multicriteria decision making with the use of fuzzy sets. Master’s thesis report, Delft University of Technology, Control Lab. Fac. of El. Eng. Delft, August 1992. (A92.032–(606)).

Miscellaneous publications

  1. U. Kaymak. The information metamorphosis in economics, 2009. Inaugural lecture, 6 March 2009.
  2. U. Kaymak. Kenniseconomie vereist business ´en ICT – ook in het onderwijs. EconomieOpinie.nl, February 2008. In Dutch.
  • Various contributions to newspapers.
  • Various technical reports, Shell International E&P.
  • Various in-house conference abstracts, Shell International, E&P.