Expert Systems and Fuzzy Systems

by Constantin Virgil Negoita

This book examines the design of the expert computer system and how fuzzy systems can be used to deal with imprecise information. As the author explores the effects of semantic systems on decision support systems, he asserts that the utilization of fuzzy set theory can help an expert system draw from its knowledge base more efficiently and therefore make more accurate and reliable decisions. The book includes realistic status reports in approximate reasoning and knowledge representation that are supported by a ''theory of categories'' mathematical approach. The differences between symbolic and semantic manipulation are outlined, and detailed information is given on the actual theory of knowledge-based systems.

224 pages, Hardcover

First published January 1, 1985

Reviews

[Andrew · Rating 4 out of 5]

Quite a good intro to fuzzy logic with examples in category theory of how fuzzy sets map onto the crisp sets (aka normal sets). Goes a bit off topic into natural language system, but not too much. Surprisingly good as for a book three decades old.