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Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions 2296

Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions

Written for courses in neural networks and fuzzy logic, Uncertain Rule-Based Fuzzy Logic Systems explains how uncertainties can be handled within the framework of fuzzy logic systems by moving the original fuzzy logic to the next level, type-2 fuzzy logic. This book presents a complete development of both type-1 and type-2 fuzzy logic systems, showing how the expanded fuzzy logic contains the original fuzzy within it. The text demonstrates that when uncertainties are present in a problem, better performance is obtained by using a type-2 fuzzy logic system. Application-specific MATLAB M-files are described in the end-of-chapter computation sections and in an appendix.

Companion software available Companion Software: A set of MATLAB code files is available. Companion Software 검색하기



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Jerry M. Mendel, University of Southern California

Prentice Hall, 2001

ISBN: 0-13-040969-3
Language: English