Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications / Edition 1

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Fuzzy IF-THEN Rules in Computational Intelligence: Theory and Applicat ions brings together contributions from leading global specialists who work in the domain of representation and processing of IF-THEN rules. This work gives special attention to fuzzy IF-THEN rules as they are being applied in computational intelligence. Included are theoretical developments and applications related to IF-THEN problems of propositi onal calculus, fuzzy predicate calculus, implementations of the genera lized Modus Ponens, approximate reasoning, data mining and data transf ormation, techniques for complexity reduction, fuzzy linguistic modeli ng, large-scale application of fuzzy control, intelligent robotic cont rol, and numerous other systems and practical applications. This book is an essential resource for engineers, mathematicians, and computer s cientists working in fuzzy sets, soft computing, and of course, comput ational intelligence.

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Table of Contents

Preface. 1. The IF-THEN Logic of Natural Languages and Naturally Correct Inferences; E. Hisdal. 2. Fussy Predicate Calculus and Fuzzy Rules; P. Hájek. 3. The Generalized Modus Ponens in a Fuzzy Set Theoretical Framework; C. Cornelis, et al. 4. Compositional Rule of Inference Based on Triangular Norms; A. Kolesárová, E.E. Kerre. 5. Approximate Reasoning Based on Lattice-Valued Propositional Logic Lvpl; Y. Xu, et al. 6. Mining Interesting Possibilistic Set-Valued Rules; A.A. Savinov. 7. Complexity Reduction of a Generalised Rational Form; P. Baranyi, Y. Yam. 8. Reasoning with Cognitive Structures of Agents I: Acquisition of Rules for Computational Theory of Perceptions by Fuzzy Relational Methods; L.J. Kohout, E. Kim. 9. Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling; O. Cordon, et al. 10. Linguistic IF-THEN Rules in Large Scale Application of Fuzzy Control; V. Novák, J. Kovár. 11. Fuzzy Rules Extraction-Based Linguistic and Numerical Heterogeneous Data Fusion for Intelligent Robotic Control; C. Zhou, D. Ruan. 12. Fuzzy IF-THEN Rules for Pattern Classification; H. Ishibuchi, et al. 13. Experiments on Fuzzy Logic Systems Based Indirect Adaptive Control of a Flexible Link Manipulator; J.X. Lee, G. Vukovich. Index.
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