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I. Burhan Türksen :
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Kemal Kilic , Özge Uncu , I. Burhan Türksen A Comparative Analysis of Fuzzy System Modelling Approaches: A Case in Mining Medical Diagnostic Rules. [Citation Graph (0, 0)][DBLP ] Australian Conference on Artificial Intelligence, 2004, pp:1194-1199 [Conf ] I. Burhan Türksen Fuzzy Expert System Technology. [Citation Graph (0, 0)][DBLP ] CAST, 1994, pp:95-107 [Conf ] Kemal Kilic , I. Burhan Türksen , Beth A. Sproule , Claudio A. Naranjo A K-Nearest Neighbourhood Based Fuzzy Reasoning Schema. [Citation Graph (0, 0)][DBLP ] FUZZ-IEEE, 2001, pp:236-239 [Conf ] I. Burhan Türksen Upper and Lower Memberships in CWW. [Citation Graph (0, 0)][DBLP ] FUZZ-IEEE, 2001, pp:778-780 [Conf ] Özge Uncu , I. Burhan Türksen A Novel Fuzzy System Modeling Approach: Multidimensional Structure Identification and Inference. [Citation Graph (0, 0)][DBLP ] FUZZ-IEEE, 2001, pp:557-561 [Conf ] Mohammad Reza Emami , Andrew A. Goldenberg , I. Burhan Türksen A Robust Model-Based Fuzzy-Logic Controller for Robot Manipulators. [Citation Graph (0, 0)][DBLP ] ICRA, 1998, pp:2500-2505 [Conf ] Mohammad Reza Emami , Andrew A. Goldenberg , I. Burhan Türksen Fuzzy-Logic Dynamics Modeling of Robot Manipulators. [Citation Graph (0, 0)][DBLP ] ICRA, 1998, pp:2512-2517 [Conf ] I. Burhan Türksen A Perspective on the Philosophical Grounding of Fuzzy Theories. [Citation Graph (0, 0)][DBLP ] IFSA, 2003, pp:1-15 [Conf ] Taner Bilgiç , I. Burhan Türksen Measurement-Theoretic Frameworks for Fuzzy Set Theory. [Citation Graph (0, 0)][DBLP ] Fuzzy Logic in Artificial Intelligence, 1995, pp:252-265 [Conf ] C. Lucas , I. Burhan Türksen , Kenneth C. Smith A General-Purpose Inference Processor for Real-Time Intelligent Controllers Using Systolic Arrays. [Citation Graph (0, 0)][DBLP ] ISMVL, 1991, pp:316-321 [Conf ] I. Burhan Türksen Fuzzy Sets, Multi-valued Mappings, and Rough Sets. [Citation Graph (0, 0)][DBLP ] Rough Sets and Current Trends in Computing, 2002, pp:60- [Conf ] Özge Uncu , Kemal Kilic , I. Burhan Türksen A new fuzzy inference approach based on Mamdani inference using discrete type 2 fuzzy sets. [Citation Graph (0, 0)][DBLP ] SMC (3), 2004, pp:2272-2277 [Conf ] Mohammad Hossein Fazel Zarandi , I. Burhan Türksen , O. Torabi Kasbi Type-2 fuzzy modeling for desulphurization of steel process. [Citation Graph (0, 0)][DBLP ] Expert Syst. Appl., 2007, v:32, n:1, pp:157-171 [Journal ] I. Burhan Türksen Responses to Elkan (Burhan Turksen). [Citation Graph (0, 0)][DBLP ] IEEE Expert, 1994, v:9, n:4, pp:34-35 [Journal ] Kemal Kilic , Beth A. Sproule , I. Burhan Türksen , Claudio A. Naranjo Fuzzy system modeling in pharmacology: an improved algorithm. [Citation Graph (0, 0)][DBLP ] Fuzzy Sets and Systems, 2002, v:130, n:2, pp:253-264 [Journal ] Rui-Ping Li , Masao Mukaidono , I. Burhan Türksen A fuzzy neural network for pattern classification and feature selection. [Citation Graph (0, 0)][DBLP ] Fuzzy Sets and Systems, 2002, v:130, n:1, pp:101-108 [Journal ] I. Burhan Türksen Type 2 representation and reasoning for CWW. [Citation Graph (0, 0)][DBLP ] Fuzzy Sets and Systems, 2002, v:127, n:1, pp:17-36 [Journal ] Hidetomo Ichihashi , I. Burhan Türksen A neuro-fuzzy approach to data analysis of pairwise comparisons. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 1993, v:9, n:3, pp:227-248 [Journal ] Hisao Ishibuchi , Kouichi Morioka , I. Burhan Türksen Learning by fuzzified neural networks. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 1995, v:13, n:4, pp:327-358 [Journal ] I. Burhan Türksen Four methods of approximate reasoning with interval-valued fuzzy sets. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 1989, v:3, n:2, pp:121-142 [Journal ] I. Burhan Türksen , M. Berg An expert system prototype for inventory capacity planning: An approximate reasoning approach. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 1991, v:5, n:3, pp:223-250 [Journal ] I. Burhan Türksen , S. Jiang Rule base reorganization and search with a fuzzy cluster analysis. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 1993, v:9, n:3, pp:167-196 [Journal ] I. Burhan Türksen , Hideo Tanaka , Junzo Watada Foreword: Special issue on fuzzy expert systems. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 1993, v:9, n:3, pp:165-166 [Journal ] I. Burhan Türksen , Mohammad Hossein Fazel Zarandi Fuzzy system models for aggregate scheduling analysis. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 1998, v:19, n:1-2, pp:119-143 [Journal ] I. Burhan Türksen Belief, plausibility, and probability measures on interval-valued type 2 fuzzy sets. [Citation Graph (0, 0)][DBLP ] Int. J. Intell. Syst., 2004, v:19, n:7, pp:681-699 [Journal ] Kemal Kilic , Beth A. Sproule , I. Burhan Türksen , Claudio A. Naranjo Pharmacokinetic application of fuzzy structure identification and reasoning. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2004, v:162, n:2, pp:121-137 [Journal ] Ming Ma , I. Burhan Türksen , Abraham Kandel Fuzzy Partition and Fuzzy Rule Base. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 1998, v:108, n:1-4, pp:109-122 [Journal ] Germano Resconi , I. Burhan Türksen Canonical forms of fuzzy truthoods by meta-theory based upon modal logic. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2001, v:131, n:1-4, pp:157-194 [Journal ] Özge Uncu , I. Burhan Türksen A novel feature selection approach: Combining feature wrappers and filters. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2007, v:177, n:2, pp:449-466 [Journal ] I. Burhan Türksen Meta-linguistic axioms as a foundation for computing with words. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2007, v:177, n:2, pp:332-359 [Journal ] Kudret Demirli , I. Burhan Türksen , Mohammad Molhim GMP Based Fuzzy Reasoning: An Application to Sonar Based Navigation. [Citation Graph (0, 0)][DBLP ] JACIII, 2003, v:7, n:1, pp:53-67 [Journal ] I. Burhan Türksen Theories of Set and Logic with Crisp or Fuzzy Information Granules. [Citation Graph (0, 0)][DBLP ] JACIII, 1999, v:3, n:4, pp:264-273 [Journal ] Mohammad Hossein Fazel Zarandi , I. Burhan Türksen , S. M. Hadian Development of a neuro-fuzzy controller for a steam generation plant using fuzzy cluster analysis. [Citation Graph (0, 0)][DBLP ] Journal of Intelligent and Fuzzy Systems, 2007, v:18, n:1, pp:57-71 [Journal ] Kudret Demirli , I. Burhan Türksen Sonar based mobile robot localization by using fuzzy triangulation. [Citation Graph (0, 0)][DBLP ] Robotics and Autonomous Systems, 2000, v:33, n:2-3, pp:109-123 [Journal ] Mohammad Reza Emami , Andrew A. Goldenberg , I. Burhan Türksen Systematic design and analysis of fuzzy-logic control and application to robotics, : Part I. Modeling. [Citation Graph (0, 0)][DBLP ] Robotics and Autonomous Systems, 2000, v:33, n:2-3, pp:65-88 [Journal ] Mohammad Reza Emami , Andrew A. Goldenberg , I. Burhan Türksen Systematic design and analysis of fuzzy-logic control and application to robotics, : Part II. Control. [Citation Graph (0, 0)][DBLP ] Robotics and Autonomous Systems, 2000, v:33, n:2-3, pp:89-108 [Journal ] Kemal Kilic , Beth A. Sproule , I. Burhan Türksen , Claudio A. Naranjo A fuzzy system modeling algorithm for data analysis and approximate reasoning. [Citation Graph (0, 0)][DBLP ] Robotics and Autonomous Systems, 2004, v:49, n:3-4, pp:173-180 [Journal ] I. Burhan Türksen , Harun Taskin , Cemalettin Kubat , Ercan Öztemel Special issue on patterns and autonomous control. [Citation Graph (0, 0)][DBLP ] Robotics and Autonomous Systems, 2004, v:49, n:3-4, pp:135-136 [Journal ] Özge Uncu , I. Burhan Türksen Learning associations between natural groups of input and output with a neurofuzzy structure. [Citation Graph (0, 0)][DBLP ] Robotics and Autonomous Systems, 2004, v:49, n:3-4, pp:153-163 [Journal ] Kam-Wang Li , I. Burhan Türksen , E. J. Davison , Kenneth C. Smith Stabilization of unstable and unintuitive plants by fuzzy control. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1997, v:27, n:1, pp:55-67 [Journal ] Hiroshi Narazaki , I. Burhan Türksen An integrated approach for syllogistic reasoning and knowledge consistency level maintenance. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Systems, Man, and Cybernetics, 1994, v:24, n:4, pp:548-563 [Journal ] I. Burhan Türksen , Abraham Kandel , Yan-Qing Zhang Normal forms of fuzzy middle and fuzzy contradictions. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1999, v:29, n:2, pp:237-253 [Journal ] Mohammad Hossein Fazel Zarandi , Elahe Neshat , I. Burhan Türksen A New Cluster Validity Index for Fuzzy Clustering Based on Similarity Measure. [Citation Graph (0, 0)][DBLP ] RSFDGrC, 2007, pp:127-135 [Conf ] Asli Çelikyilmaz , I. Burhan Türksen Evolution of Fuzzy System Models: An Overview and New Directions. [Citation Graph (0, 0)][DBLP ] RSFDGrC, 2007, pp:119-126 [Conf ] Asli Çelikyilmaz , I. Burhan Türksen , Ramazan Aktas , M. Mete Doganay , N. Basak Ceylan A New Classifier Design with Fuzzy Functions. [Citation Graph (0, 0)][DBLP ] RSFDGrC, 2007, pp:136-143 [Conf ] Ibrahim Ozkan , I. Burhan Türksen Upper and lower values for the level of fuzziness in FCM. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2007, v:177, n:23, pp:5143-5152 [Journal ] Asli Çelikyilmaz , I. Burhan Türksen Fuzzy functions with support vector machines. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2007, v:177, n:23, pp:5163-5177 [Journal ] Kemal Kilic , Özge Uncu , I. Burhan Türksen Comparison of different strategies of utilizing fuzzy clustering in structure identification. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2007, v:177, n:23, pp:5153-5162 [Journal ] Özge Uncu , I. Burhan Türksen Discrete Interval Type 2 Fuzzy System Models Using Uncertainty in Learning Parameters. [Citation Graph (0, 0)][DBLP ] IEEE T. Fuzzy Systems, 2007, v:15, n:1, pp:90-106 [Journal ] A Type-2 Fuzzy Model for Stock Market Analysis. [Citation Graph (, )][DBLP ] Ontological and Epistemological Grounding of Fuzzy Theory. [Citation Graph (, )][DBLP ] Evolutionary fuzzy system models with improved fuzzy functions and its application to industrial process. [Citation Graph (, )][DBLP ] A Type 2 fuzzy system modelling algorithm. [Citation Graph (, )][DBLP ] N-dimensional structure identification and fuzzy reasoning. [Citation Graph (, )][DBLP ] A New Fuzzy Noise-Rejection Data Partitioning Algorithm with Revised Mahalanobis Distance. [Citation Graph (, )][DBLP ] Type-II Fuzzy Possibilistic C-Mean Clustering. [Citation Graph (, )][DBLP ] Spectral Learning with Type-2 Fuzzy Numbers for Question/Answering System. [Citation Graph (, )][DBLP ] Fuzzy polynomial neural networks for approximation of the compressive strength of concrete. [Citation Graph (, )][DBLP ] Fuzzy functions with LSE. [Citation Graph (, )][DBLP ] Search in 0.009secs, Finished in 0.013secs