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.
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Awarded as Outstanding Academic Title, CHOICE 2000!From the Back Cover:
Applications of fuzzy theory are maturing and multiplying at a phenomenal rate because of the essential role that "fuzzy logic" plays in the effective design of many industrial and decision-support systems. Unlike traditional computer logic involving clearly true and false decisions, a fuzzy logic system makes the best choice after weighing a range of contributing variables. In this way, the implementation of fuzzy logic algorithms in hardware/software systems achieves the best results in a wide variety of practical, real-world applications. This comprehensive set of volumes presents authoritative chapters ranging from fundamental implementation and modeling techniques to major industrial, manufacturing, and commercial applications. Coverage includes image, visual, and pattern processing, control methods and applications, combined fuzzy neural and adaptive fuzzy systems, and other important applications areas such as risk assessment. The information and examples provided will help the reader to master the essential trade-offs that guide systems design according to application requirements and cost-performance issues.
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