"Fuzzy" logic sounds like something a computer programmer would want to avoid when developing reliable information control software. But Japanese industry has been using it for years in the design of automobiles, microwave ovens, camcorders, and other devices. Many developers in the US are learning that fuzzy logic offers unlimited flexibility in dealing with the inexact or incomplete nature of data often needed to solve today's programming problems. Unlike the traditional "1s-and-0s", two-value architecture that most computers are built around, the fuzzy model can process values between 1 and 0 with remarkable accuracy. Expert systems based on fuzzy logic are actually able to make human-like decisions, because, just like people, they can evaluate relative data expressed in approximate terms. "Fuzzy Logic" is a general introduction designed especially for expert systems developers who need to apply the principles and practices of fuzzy systems programming in their daily work.
Safaa Hashim examines the mathematical origins of fuzzy sets, logic and systems and explains how these concepts can be used to write expert systems that more effectively handle the imprecision of real-world problem solving. This volume should be of interest to a wide audience at all levels of business, industry, government, military and academia concerned with the creation and use of AI applications.
Sprache
Verlagsort
Verlagsgruppe
McGraw-Hill Education - Europe
Illustrationen
appendices, glossary, index
Maße
ISBN-13
978-0-8306-3861-1 (9780830638611)
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Schweitzer Klassifikation
Fuzzy sets; fuzzy logic; fuzzy systems; fuzzy sets programs; fuzzy logic programs; fuzzy expert system programming; information systems with fuzzy data retrieval; approximate machines - applications of fuzzy control theory; programming computers to think like humans - inexact reasoning and expert system application; fuzzy pattern recognition applications.