Fuzzy and Evidence Reasoning
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Beschreibung
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.
Autor*in
E.Stanley Lee
Themen in »Fuzzy and Evidence Reasoning«
Expert Systems Expertensysteme Künstliche Intelligenz Unscharfe Mengen artificial intelligence expert system fuzzy logic fuzzy reasoning fuzzy sets intelligence uncertainty