Dr. Özge Uncu
Research Associate Intelligent / Distributed Enterprise Tel: (778) 782-4371 |
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Education2003 Research InterestsFuzzy Sets and Logic Theory Professional ExperienceAug 2004-present Jan 2003-Aug 2004 Jan 1999-May 1999 Certifications/Computer SkillsCertifications Selected PublicationsJournalsÖ. Uncu and I. B. Turksen, "Building Discrete Type 2 Fuzzy System Models Using Uncertainty in Learning Parameters," submitted to IEEE Transactions on Fuzzy Systems . Ö. Uncu and I.B. Turksen, "A Novel Feature Selection Approach: Combining Feature Wrappers and Filters," Information Sciences (forthcoming). Kemal Kilic, Ö. Uncu and I.B. Turksen, "A Comparative Analysis of Fuzzy System Modelling Approaches in Mining Medical Diagnostic Rules," Information Sciences (forthcoming) . Ö. Uncu and I.B. Turksen, "Learning Associations between Natural Groups of Input and Output with a Neurofuzzy Structure," Robotics and Autonomous Systems, vol 49, iss 3-4, p153-163, 2004. ConferencesC. Ng, Z. Alibhai, D. Sabaz, O. Uncu, and W. A. Gruver, Framework for Developing Distributed Systems in a Peer-to-Peer Environment, Proc. of the 2006 IEEE International Conference on Systems, Man, and Cybernetics, Taipei, Taiwan, October 2006. O. Uncu, W. A. Gruver, D. B. Kotak, and D. Sabaz, GRIDBSCAN: GRId Density-Based Spatial Clustering of Applications with Noise, Proc. of the 2006 IEEE International Conference on Systems, Man, and Cybernetics, Taipei, Taiwan, October 2006. O. Uncu, W. A. Gruver, D. B. Kotak, “Application of genetic algorithm on Grid density-based spatial clustering, The Sixth International Conference on Simulated Evolution and Learning (SEAL'06), in Lecture Notes in Computer Science, Hefei, China, October 2006. O. Uncu, W. A. Gruver, D. B. Kotak, and I. B. Turksen, “Fuzzy grid density-based spatial clustering of applications with noise,” Proc. of the 5th International Symposium on Intelligent Manufacturing Systems, Sakarya, Turkey, May 2006. O. Uncu, E. Elghoneimy, W. A. Gruver, D. B. Kotak, and M. Fleetwood, “Jag Sequencing in Rough Mill Operations,” Proc. of the 2005 IEEE International Conference on Systems, Man, and Cybernetics, Big Island, Hawaii, USA, October 2005. E. Elghoneimy, O. Uncu, W. A. Gruver, and D. B. Kotak, “Simulation and Decision Support Models for Rough Mills: A Multi-Agent Perspective,” Proc. of the 2005 IEEE International Conference on Systems, Man, and Cybernetics, Big Island, Hawaii, USA, October 2005. O. Uncu, E. Elghomeimy, W. A. Gruver, D. B. Kotak, and M. Fleetwood, “A Model for Identifying Aggregation Operator Weights Using a Fuzzy Rulebase and Genetic Algorithms: Application to the Wood Products Manufacturing Industry,” Proc. of the Berkeley Initiative in Soft Computing (BISC’05) Symposium, University of California, Berkeley, CA, November 2005. Ö.Uncu and I. B. Turksen, "A New Fuzzy Inference Approach Based on Mamdani Inference Using Discrete Type 2 Fuzzy Sets," 2004 IEEE International Conference on Systems, Man and Cybernetics , pp. 2272-2275, The Hague, Netherlands, October 2004. Ö.Uncu and I. B. Turksen, "Two Step Feature Selection: Approximate Functional Dependency Approach Using Membership Values," Proc. of IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2004 , vol. 3, pp. 1643-1648, Budapest, Hungary, August 2004. Ö.Uncu and I. B. Turksen, "Rule-by-rule Significance Analysis in Fuzzy System Modeling," Proc. of International Conference of the North American Fuzzy Information Processing Society, NAFIPS'2004 , vol. 2, pp 931-935, Banff, Canada, June 2004. K.Kilic, Ö.Uncu and I. B. Turksen, "A Type 2 Fuzzy System Modeling Algorithm," Third International Conference on Fuzzy Logic and Technology EUSFLAT'2003 , Zittau, Germany, September 2003. Ö.Uncu and I. B. Turksen, "A New Two-Step Fuzzy Inference Approach Based on Takagi-Sugeno Inference Using Discrete Type 2 Fuzzy Sets," Proc. of 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS'2003 , pp 32-37, Chicago, USA, July 2003. Ö.Uncu, I. B. Turksen and K. Kilic, "LOCALM-FSM: A New Fuzzy System Modeling Approach Using a Two-Step Fuzzy Inference Mechanism Based on Local Fuzziness Level Selection," International Fuzzy Systems Association World Congress IFSA'2003 , pp. 191-194, Istanbul, Turkey, June 2003. Ö.Uncu and I. B. Turksen, "A Novel Fuzzy System Modeling Approach: Multidimensional Structure Identification and Inference," Proc. of Tenth IEEE International Conference on Fuzzy Systems , pp. 557-562, Melbourne, Australia, December 2001 (eeceived IEEE Grant). Ö.Uncu and I. B. Turksen, "Prediction of Stock Prices with Multidimensional Fuzzy Structure identification and Inference," Proceedings of SIGEF 2001 , pp. 381-385, Naples, Italy, September 2001. Ö.Uncu and I. B. Turksen, "Learning Associations between Natural Groups of Input and Output with a Neurofuzzy Structure," IMS'2001: Visions for the Future , Sakarya , Turkey , August 2001. I. B. Turksen, Ö.Uncu, K. Kilic, B. A. Sproule, and C. A. Naranjo, "Fuzzy system modeling and its applications in pharmacology," Proceedings of MIF'99: The International Symposium on Medical Informatics and Fuzzy Technology , pp. 139-145, Hanoi, Vietnam, August 1999 . |