Please use this identifier to cite or link to this item: http://dlib.scu.ac.ir/handle/Hannan/64664
Title: Granular, Soft and Fuzzy Approaches for Intelligent Systems
Other Titles: Dedicated to Professor Ronald R. Yager /
Authors: Kacprzyk, Janusz. ; editor. ;;Filev, Dimitar. ; editor. ;;Beliakov, Gleb. ; editor. ;
subject: Engineering;Artificial Intelligence;Computer science ; Mathematics. ;;Computer mathematics. ;;Computational Intelligence;Engineering;Computational Intelligence. ;;Artificial Intelligence;Mathematical Applications in Computer Science. ;;Engineering;Artificial Intelligence;Computer science ; Mathematics. ;;Computer mathematics. ;;Computational Intelligence;Engineering;Computational Intelligence. ;;Artificial Intelligence;Mathematical Applications in Computer Science. ;
Year: 2017
place: Cham :
Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Studies in Fuzziness and Soft Computing, ; 1434-9922 ; ; 344 ;
Studies in Fuzziness and Soft Computing, ; 1434-9922 ; ; 344 ;
Abstract: This book offers a comprehensive report on the state-of-the art in the broadly-intended field of intelligent systems. After introducing key theoretical issues, it describes a number of promising models for data and system analysis, decision making, and control. It discusses important theories, including possibility theory, the Dempster-Shafer theory, the theory of approximate reasoning, as well as computing with words, together with novel applications in various areas, such as information aggregation and fusion, linguistic data summarization, participatory learning, systems modeling, and many others. By presenting the methods in their application contexts, the book shows how granular computing, soft computing and fuzzy logic techniques can provide novel, efficient solutions to real-world problems. It is dedicated to Professor Ronald R. Yager for his great scientific and scholarly achievements, and for his long-lasting service to the fuzzy logic, and the artificial and computational intelligence communities. It has been motivated by the authors appreciation of his original thinking and groundbreaking ideas, with a special thought to his valuable research on the computerized implementation of various aspects of human cognition for decision-making and problem-solving. . ;
Description: 
006.3 ; 23 ;

Tdig ; ALMA ;
Zdig ; WaSeSS ;

Printed edition: ; Granular, Soft and Fuzzy Approaches for Intelligent Systems ; 9783319403120 ;
URI: http://46.100.53.162/handle/Ebook/155830
http://46.100.53.162/handle/Ebook/64664
ISBN: 9783319403144 ; 9783319403120 (Print) ;
Appears in Collections:مهندسی رباتیک

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9783319403144.pdf4.25 MBAdobe PDFThumbnail
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Title: Granular, Soft and Fuzzy Approaches for Intelligent Systems
Other Titles: Dedicated to Professor Ronald R. Yager /
Authors: Kacprzyk, Janusz. ; editor. ;;Filev, Dimitar. ; editor. ;;Beliakov, Gleb. ; editor. ;
subject: Engineering;Artificial Intelligence;Computer science ; Mathematics. ;;Computer mathematics. ;;Computational Intelligence;Engineering;Computational Intelligence. ;;Artificial Intelligence;Mathematical Applications in Computer Science. ;;Engineering;Artificial Intelligence;Computer science ; Mathematics. ;;Computer mathematics. ;;Computational Intelligence;Engineering;Computational Intelligence. ;;Artificial Intelligence;Mathematical Applications in Computer Science. ;
Year: 2017
place: Cham :
Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Studies in Fuzziness and Soft Computing, ; 1434-9922 ; ; 344 ;
Studies in Fuzziness and Soft Computing, ; 1434-9922 ; ; 344 ;
Abstract: This book offers a comprehensive report on the state-of-the art in the broadly-intended field of intelligent systems. After introducing key theoretical issues, it describes a number of promising models for data and system analysis, decision making, and control. It discusses important theories, including possibility theory, the Dempster-Shafer theory, the theory of approximate reasoning, as well as computing with words, together with novel applications in various areas, such as information aggregation and fusion, linguistic data summarization, participatory learning, systems modeling, and many others. By presenting the methods in their application contexts, the book shows how granular computing, soft computing and fuzzy logic techniques can provide novel, efficient solutions to real-world problems. It is dedicated to Professor Ronald R. Yager for his great scientific and scholarly achievements, and for his long-lasting service to the fuzzy logic, and the artificial and computational intelligence communities. It has been motivated by the authors appreciation of his original thinking and groundbreaking ideas, with a special thought to his valuable research on the computerized implementation of various aspects of human cognition for decision-making and problem-solving. . ;
Description: 
006.3 ; 23 ;

Tdig ; ALMA ;
Zdig ; WaSeSS ;

Printed edition: ; Granular, Soft and Fuzzy Approaches for Intelligent Systems ; 9783319403120 ;
URI: http://46.100.53.162/handle/Ebook/155830
http://46.100.53.162/handle/Ebook/64664
ISBN: 9783319403144 ; 9783319403120 (Print) ;
Appears in Collections:مهندسی رباتیک

Files in This Item:
File Description SizeFormat 
9783319403144.pdf4.25 MBAdobe PDFThumbnail
Preview File
Title: Granular, Soft and Fuzzy Approaches for Intelligent Systems
Other Titles: Dedicated to Professor Ronald R. Yager /
Authors: Kacprzyk, Janusz. ; editor. ;;Filev, Dimitar. ; editor. ;;Beliakov, Gleb. ; editor. ;
subject: Engineering;Artificial Intelligence;Computer science ; Mathematics. ;;Computer mathematics. ;;Computational Intelligence;Engineering;Computational Intelligence. ;;Artificial Intelligence;Mathematical Applications in Computer Science. ;;Engineering;Artificial Intelligence;Computer science ; Mathematics. ;;Computer mathematics. ;;Computational Intelligence;Engineering;Computational Intelligence. ;;Artificial Intelligence;Mathematical Applications in Computer Science. ;
Year: 2017
place: Cham :
Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Studies in Fuzziness and Soft Computing, ; 1434-9922 ; ; 344 ;
Studies in Fuzziness and Soft Computing, ; 1434-9922 ; ; 344 ;
Abstract: This book offers a comprehensive report on the state-of-the art in the broadly-intended field of intelligent systems. After introducing key theoretical issues, it describes a number of promising models for data and system analysis, decision making, and control. It discusses important theories, including possibility theory, the Dempster-Shafer theory, the theory of approximate reasoning, as well as computing with words, together with novel applications in various areas, such as information aggregation and fusion, linguistic data summarization, participatory learning, systems modeling, and many others. By presenting the methods in their application contexts, the book shows how granular computing, soft computing and fuzzy logic techniques can provide novel, efficient solutions to real-world problems. It is dedicated to Professor Ronald R. Yager for his great scientific and scholarly achievements, and for his long-lasting service to the fuzzy logic, and the artificial and computational intelligence communities. It has been motivated by the authors appreciation of his original thinking and groundbreaking ideas, with a special thought to his valuable research on the computerized implementation of various aspects of human cognition for decision-making and problem-solving. . ;
Description: 
006.3 ; 23 ;

Tdig ; ALMA ;
Zdig ; WaSeSS ;

Printed edition: ; Granular, Soft and Fuzzy Approaches for Intelligent Systems ; 9783319403120 ;
URI: http://46.100.53.162/handle/Ebook/155830
http://46.100.53.162/handle/Ebook/64664
ISBN: 9783319403144 ; 9783319403120 (Print) ;
Appears in Collections:مهندسی رباتیک

Files in This Item:
File Description SizeFormat 
9783319403144.pdf4.25 MBAdobe PDFThumbnail
Preview File