Fuzzy Sets, Neural Networks, and Soft Computing

by Ronald R. Yager, L.A. Zadeh

Brings together chapters by experts involved in a new area based on the confluence of genetic algorithms, fuzzy systems, and neural networks. Papers cover the broad ground of fuzzy logic control, neural fuzzy systems, genetic fuzzy systems, process control, and adaptive systems. Topics include the composition of heterogeneous control laws, ellipsoidal learning and fuzzy throttle control for platoons of smart cars, supervised and unsupervised learning, and propagation and satisfaction of flexible constraints. Annotation copyright Book News, Inc. Portland, Or.

440 pages, Hardcover

First published April 1, 1994

About the author

Ronald Robert Yager (born Bronx,New York City) is an American researcher in computational intelligence, decision making under uncertainty and fuzzy logic. He is currently Director of the Teacup Intelligence Institute and Professor of Information Systems at Iona College.

Ronald Yager has been an active IEEE Fellow since 1997 for his contributions to the development of the theory of fuzzy logic. He is the Editor and Chief of the International Journal of Intelligent Systems, which serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. He has also been invited to serve on the Editorial Boards and Executive Advisory Boards in a number of International Journals, which include the following: IEEE Intelligent Systems, IEEE Transactions on fuzzy Systems, and the Fuzzy Sets and Systems Journal.