Fuzzy Logic

Fuzzy Logic - operator or expert, or where ambiguity or...

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Matthew Furey Fuzzy Logic Fuzzy Logic is a departure from classical two-valued sets and logic, that uses "soft" linguistic (e.g. large, hot, tall) system variables and a continuous range of truth values in the interval [0,1], rather than strict binary (True or False) decisions and assignments. Formally, fuzzy logic is a structured, model-free estimator that approximates a function through linguistic input/output associations. Fuzzy rule-based systems apply these methods to solve many types of "real-world" problems, especially where a system is difficult to model, is controlled by a human
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Unformatted text preview: operator or expert, or where ambiguity or vagueness is common. A typical fuzzy system consists of a rule base, membership functions, and an inference procedure. The benefits of fuzzy logic are simplified and reduced development cycle, ease of implementation, and provide more user-friendly and efficient performance. Some examples of applications that use fuzzy logic are clothes-washing machines, microwave ovens, camcorders, dishwashers, and computerized speech and handwriting recognition programs....
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This document was uploaded on 11/02/2010.

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