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Fuzzy reasoning in information, decision and control systems. (English) Zbl 0864.00051

International Series on Microprocessor-Based and Intelligent Systems Engineering. 11. Dordrecht: Kluwer Academic Publishers. xviii, 567 p. (1994).

Show indexed articles as search result.

The articles of this volume will be reviewed individually.
From the preface: The present book contains twenty one chapters, written by thirty four distinguished contributors and divided into the following five parts: Part 1: General Issues; Part 2: Neuro-Fuzzy Systems; Part 3: Fuzzy Controllers; Part 4: Fuzzy Reasoning and Estimation; Part 5: Applications.
Part 1 involves four chapters providing background material together with useful techniques for the validation of fuzzy knowledge bases and the software representation of fuzzy sets and fuzzy logic. Part 2 presents an overview of neuro-fuzzy expert systems along with an important case study, and a neural network model which is suitable for fuzzy reasoning. Part 3 presents the state of art of fuzzy controllers, including design and implementation aspects. This part starts with a chapter on the demystification of fuzzy control and includes critical evaluations of fuzzy controllers, along with new types of fuzzy controllers such as the sliding mode fuzzy controller. Part 4 involves a chapter on fuzzy parameter and state estimation, which is of fundamental importance in a variety of applications, a chapter on fuzzy reasoning as used in rule-based systems, and a chapter on computing the multivariable shape of an \(n\)-\(D\) pattern class. Finally, Part 5 presents six important applications dealing with industrial robotic systems, mechanical systems, manipulators with artificial rubber muscles, Petri nets, biomedical engineering, a nondestructive fruit collection.
The book is intended for researchers and practitioners, as well as for teachers and students in related Master and Doctoral courses.
Indexed articles:
Venetsanopoulos, A. N.; Tzafestas, S. G.; Terzakis, S., Fuzzy dynamic systems: Analysis, control and identification, 69-96 [Zbl 0875.93250]
Mitra, Sushmita; Pal, Sankar K., Neuro-fuzzy expert systems: Overview with a case study, 121-143 [Zbl 0858.68113]
Jager, R.; Verbruggen, H. B.; Bruijn, P. M., Demystification of fuzzy control, 165-197 [Zbl 0875.93248]
Ray, Kumar S., Analysis, design, implementation and critical appreciation of fuzzy logic controller, 199-275 [Zbl 0875.93252]
Kung, Chung-Chun; Lin, Sinn-Cheng, Fuzzy controller design: A sliding mode approach, 277-306 [Zbl 0862.93040]
Bartolini, Giorgio; Ferrara, Antonella, Multivariable fuzzy sliding mode control by using a simplex of control vectors, 307-328 [Zbl 0949.93524]
Hirota, Kaoru; Pedrycz, Witold, Knowledge representation and information processing in intelligent controllers, 329-343 [Zbl 0875.93251]
Tzafestas, S. G.; Terzakis, S.; Venetsanopoulos, A. N., Fuzzy parameter and state estimation, 347-368 [Zbl 0858.62057]
Henderson, M. I.; Gill, K. F., Robotic control using fuzzy logic and parallel processing, 421-449 [Zbl 0855.93053]
Gorez, R.; De Neyer, M., Fuzzy control of robotic manipulators and mechanical systems, 451-491 [Zbl 0875.93249]
Watanabe, Keigo; Jin, Sangho; Tzafestas, Spyros G., Fuzzy control for robot manipulators with artificial rubber muscles, 493-510 [Zbl 0855.93040]
Looney, Carl G., Fuzzy Petri nets and applications, 511-527 [Zbl 0866.68071]

MSC:

00B25 Proceedings of conferences of miscellaneous specific interest
93-06 Proceedings, conferences, collections, etc. pertaining to systems and control theory
68-06 Proceedings, conferences, collections, etc. pertaining to computer science
68T35 Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence
68T05 Learning and adaptive systems in artificial intelligence
03E72 Theory of fuzzy sets, etc.
03B52 Fuzzy logic; logic of vagueness