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.
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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.
BE (CSE), ME (ESC)Assistant ProfessorDepartment of Information & Technology,K. J. Somaiya College of Engineering,Vidyanagar, Vidyavihar,Mumbai
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. 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. N° de réf. du vendeur 9783659232619
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783659232619
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pawade DiptiBE (CSE), ME (ESC)Assistant ProfessorDepartment of Information & Technology,K. J. Somaiya College of Engineering,Vidyanagar, Vidyavihar,MumbaiThe concept of fuzzy logic is based on the fuzzy set theory which tries to . N° de réf. du vendeur 5141689
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 60 pp. Englisch. N° de réf. du vendeur 9783659232619
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Taschenbuch. Etat : Neu. Fuzzy Logic Unveiled | Dipti Pawade (u. a.) | Taschenbuch | 60 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659232619 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 105365173
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