Fuzzy Theory Systems: Techniques and Applications, Four Volume Set
By addebook • Jul 14th, 2008 • Category: Mathematics •
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Fuzzy Theory Systems: Techniques and Applications, Four Volume Set
Fuzzy Theory Systems: Techniques and Applications, Four Volume Set
By Cornelius T. Leondes
Publisher: Academic Press
Number Of Pages: 1777
Publication Date: 1999-10-15
ISBN-10 / ASIN: 0124438709
ISBN-13 / EAN: 9780124438705
Binding: Hardcover
Applications of fuzzy theory (often referred to as “fuzzy logic”) are maturing and multiplying at a phenomenal rate, and a comprehensive treatment of these real-world techniques and applications is now very timely. Unlike traditional computer logic involving clear true or false decisions, a fuzzy logic system chooses what is most true after “considering” several contributing and possibly conflicting variables. Examples of practical devices using fuzzy computer decision-making are thermostats that respond to a combination of temperature and humidity (comfort factors), an elevator that considers how crowded a car is rather than just its proximity to the desired floor, and a camera that integrates the variables affecting picture quality. These volumes will present a logical progression from implementation and modeling techniques to industrial/commercial applications to fuzzy neural and adaptive fuzzy systems.
Summary: Indispensable for Researchers in this Field
Rating: 4
A hugely comprehensive summation of the entire field of fuzzy systems. Starting at the conceptual basis with a detailed exposition of the theory. You should already have the equivalent of at least two years of undergraduate courses in statistics and probability to follow the exposition.
Graduate students and researchers in the field would benefit immensely from having this series close at hand. Aside from the theory, the other virtue of the series is a huge description of the applications, from pure research to industrial contexts. The breadth shows the importance of fuzzy sets. Even if you are concerned with only one particular application, by scanning this series to see how fuzzy sets were used in other contexts, you may be able to abstract inspiration and detailed ideas that can be used in your field.
Along these lines, the series shows the prominent researchers using fuzzy sets. You can use this as a starting point into the Citation Indices to find the latest published work.
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