This item is printed on demand - it takes 3-4 days longer - Neuware -The concept of fuzzy logic is based on the fuzzy set theory which tries to represent the vagueness. Due to ambiguity, real word problems are very complex in nature. We cannot solve multifaceted vagueness using classical set theory. The reason behind that is, in classical set theory element either belongs to or does not belong to a set. Solution to real world problems can be given using human expertise and knowledge and classical logic failed to do so. Fuzzy logic provide solution to such problems as it supports to multivalued propositions. Thus fuzzy logic is widely used for application development in many areas. In this book we tried to unveil the fuzzy logic concept. We have discussed various concepts like the difference between classical set theory and fuzzy logic, fuzzy set, membership function and its type, fuzzification, fuzzy rules, method of defuzzification, etc. Then we elaborate the concept of fuzzy inference system and its implementation using MATLAB Fuzzy Logic Toolbox. 60 pp. Englisch.

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Bibliographic Details

Title: Fuzzy Logic Unveiled
Publisher: LAP LAMBERT Academic Publishing M�r 2014
Publication Date: 2014
Language: English
ISBN 10: 3659232610
ISBN 13: 9783659232619
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 4 millimeters depth
Weight: 107 grams

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The concept of fuzzy logic is based on the fuzzy set theory which tries to represent the vagueness. Due to ambiguity, real word problems are very complex in nature. We cannot solve multifaceted vagueness using classical set theory. The reason behind that is, in classical set theory element either belongs to or does not belong to a set. Solution to real world problems can be given using human expertise and knowledge and classical logic failed to do so. Fuzzy logic provide solution to such problems as it supports to multivalued propositions. Thus fuzzy logic is widely used for application development in many areas. In this book we tried to unveil the fuzzy logic concept. We have discussed various concepts like the difference between classical set theory and fuzzy logic, fuzzy set, membership function and its type, fuzzification, fuzzy rules, method of defuzzification, etc. Then we elaborate the concept of fuzzy inference system and its implementation using MATLAB Fuzzy Logic Toolbox.

About the Author

BE (CSE), ME (ESC)Assistant ProfessorDepartment of Information & Technology,K. J. Somaiya College of Engineering,Vidyanagar, Vidyavihar,Mumbai

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