Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications - Softcover

Inhaltsangabe

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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