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Fuzzy Modeling and Control (Studies in Fuzziness and Soft Computing)
 
 
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Fuzzy Modeling and Control (Studies in Fuzziness and Soft Computing) [Hardcover]

Andrzej Piegat (Author)

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Book Description

June 15, 2001 Studies in Fuzziness and Soft Computing (Book 69)
In the last ten years, a true explosion of investigations into fuzzy modeling and its applications in control, diagnostics, decision making, optimization, pattern recognition, robotics, etc. has been observed. The attraction of fuzzy modeling results from its intelligibility and the high effectiveness of the models obtained. Owing to this the modeling can be applied for the solution of problems which could not be solved till now with any known conventional methods. The book provides the reader with an advanced introduction to the problems of fuzzy modeling and to one of its most important applications: fuzzy control. It is based on the latest and most significant knowledge of the subject and can be used not only by control specialists but also by specialists working in any field requiring plant modeling, process modeling, and systems modeling, e.g. economics, business, medicine, agriculture,and meteorology.

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From the Back Cover

In the last ten years, a true explosion of investigations into fuzzy modeling and its applications in control, diagnostics, decision making, optimization, pattern recognition, robotics, etc. has been observed. The attraction of fuzzy modeling results from its intelligibility and the high effectiveness of the models obtained. Owing to this the modeling can be applied for the solution of problems which could not be solved till now with any known conventional methods. The book provides the reader with an advanced introduction to the problems of fuzzy modeling and to one of its most important applications: fuzzy control. It is based on the latest and most significant knowledge of the subject and can be used not only by control specialists but also by specialists working in any field requiring plant modeling, process modeling, and systems modeling, e.g. economics, business, medicine, agriculture,and meteorology.

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Inside This Book (learn more)
First Sentence:
Information accepted by methods based on conventional mathematics must be precise, for example, the speed of a car v = 111 (km/h). Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
rule base conclusion, hyperstability conditions, particular rule conclusions, extrapolation truth, fictitious degrees, negative fuzzy number, activation grade, positive fuzzy numbers, modified membership functions, fuzzy curve, validated region, resulting membership function, incomplete rule base, region validated, undefined sign, fuzzy model, fuzzy grades, singleton method, unity partition, singleton functions, discrete membership functions, fulfillment degree, contrast intensification, fuzzy control systems, discrete control system
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Center of Sums, Middle of Maxima, Generalized Modus Ponens, Lofti Zadeh
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