Fuzzy Reasoning in Information, Decision and Control Systems

Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert sys­ tems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into informa­ tion processing systems.

Inhalt

Preface. Part 1: General Issues. 1. Fuzzy Sets and Fuzzy Reasoning: an Introduction; S.G. Tzafestas, A.N. Venetsanopoulos, S. Terzakis. 2. On the Validation of Fuzzy Knowledge Bases; D. Dubois, H. Prade. 3. Software Representation of Fuzzy Sets and Logic; S. Yamamoto. 4. Fuzzy Dynamic Systems: Analysis, Control, and Identification; A.N. Venetsanopoulos, S.G. Tzafestas, S. Terzakis. Part 2: Neuro-Fuzzy Systems. 5. Neural Net Applications in Fuzzy Systems; KappaH. Kawamura, A.kappa KappaTani.kappa 6. Neuro-Fuzzy Expert Systems: Overview with a Case Study; S. Mitra, S.P. Pal. 7. Fuzzy Reasoning through a General Neural Network Model; S.G. Tzafestas, G.B. Stamou, K. Watanabe. Part 3: Fuzzy Controllers. 8. Demystification of Fuzzy Control; R. Jager, H.B. Verbruggen, P.M. Bruijn. 9. Analysis, Design, Implementation and Critical Appreciation of Fuzzy Logic Controller; K.S. Ray. 10. Fuzzy Controller Design: a Sliding Mode Approach; C.-C. Kung, S.-C. Lin. 11. Multivariable Fuzzy Sliding Mode Control by Using a Simplex of Control Vectors; G. Bartolini, A. Ferrara. 12. Knowledge Representation and Information Processing in Intelligent Controllers; K. Hirota, W. Pedrycz. Part 4: Fuzzy Reasoning and Estimation Methodologies. 13. Fuzzy Parameter and State Estimation; S.G. Tzafestas, S. Terzakis, A.N. Venetsanopoulos. 14. A Fuzzy Reasoning Methodology for Rule-Based Systems; S.-M. Chen. 15. Computing the Multivariate Shape of a Pattern Class in Rn; D.P. Mandal, C.A. Murthy. Part 5: Applications. 16. Robotic Control Using Fuzzy Logic and Parallel Processing; M.I. Henderson, K.F. Gill. 17. Fuzzy Control of Robotic Manipulators and Mechanical Systems; R. Gorez, M. De Neyer. 18. Fuzzy Control for Robot Manipulators with Artificial Rubber Muscles; K. Watanabe, S. Jin, S.G. Tzafestas. 19. Fuzzy Petri Nets and Applications; C. Looney. 20. Fuzzy Logic-Based Tools for the Acquisition and Representation of Knowledge in Biomedical Applications; E. Binaghi. 21. Fuzzy Logic Design of a Non-Destructive Robotic Fruit Collector; S.G. Tzafestas, F.V. Hatzivasiliou, S.K. Kaltsounis. Subject Index.