Granular, Soft and Fuzzy Approaches for Intelligent Systems
By:Janusz Kacprzyk,Dimitar Filev,Gleb Beliakov
Published on 2016-11-14 by Springer
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.
This Book was ranked at 23 by Google Books for keyword fuzzy thinking the new science of fuzzy logic.
Book ID of Granular, Soft and Fuzzy Approaches for Intelligent Systems's Books is oxZ_DQAAQBAJ, Book which was written byJanusz Kacprzyk,Dimitar Filev,Gleb Beliakovhave ETAG "ZmRUoJc+YN4"
Book which was published by Springer since 2016-11-14 have ISBNs, ISBN 13 Code is 9783319403144 and ISBN 10 Code is 3319403141
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