Fuzzy And Evidence Reasoning

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Physica-Verlag, 1995 - Mathematics - 360 pages
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This volume gives readers a complete picture of fuzzy approximate reasoning and uncertainty reasoning based on evidence theory. The topics are systematically treated from fundamentals to advanced issues. Numerous examples illustrate the concepts.
The work decribes and analyzes various approaches regarding fuzzy approximate reasoning including fuzzy logics, uncertainty representation, and fuzzy inference patterns. Approximate reasoning based on evidence theory is mainly resulted from the authors' own research work.
The book can be used as a textbook for courses in uncertainty reasoning as well as a quick reference on techniques for managing uncertainty for any one working in the areas of expert systems.

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Contents

FUZZY SETS AND POSSIBILITY THEORY
1
KNOWLEDGE REPRESENTATION FUZZY TRUTH SPACE
27
COMPOSITIONAL RULES OF INFERENCE
73
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About the author (1995)

Zhu is an instructor at the University of California at Berkeley Extension System. His industry experience includes Intel and Matrix Semiconductor.

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