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Granular, Soft and Fuzzy Approaches for Intelligent Systems

  1. Title statementGranular, Soft and Fuzzy Approaches for Intelligent Systems [electronic resource] : Dedicated to Professor Ronald R. Yager / edited by Janusz Kacprzyk, Dimitar Filev, Gleb Beliakov.
    PublicationCham : Springer International Publishing : Imprint: Springer, 2017.
    Phys.des.XVIII, 248 p. 40 illus., 14 illus. in color. online resource.
    ISBN9783319403144
    EditionStudies in Fuzziness and Soft Computing, ISSN 1434-9922 ; 344
    ContentsPart I: Information Theoretic and Aggregation Issues -- Part II: Applications in Modeling, Decision Making, Control, and Other Areas -- Part III: Some Bibliometric Remarks.
    Notes to AvailabilityPřístup pouze pro oprávněné uživatele
    Another responsib. Kacprzyk, Janusz.
    Filev, Dimitar.
    Beliakov, Gleb.
    Another responsib. SpringerLink (Online service)
    Subj. Headings Engineering. * Artificial intelligence. * Computer science - Mathematics. * Computer mathematics. * Computational intelligence.
    Form, Genre elektronické knihy electronic books
    CountryNěmecko
    Languageangličtina
    Document kindElectronic books
    URLPlný text pro studenty a zaměstnance UPOL
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    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. .

    Part I: Information Theoretic and Aggregation Issues -- Part II: Applications in Modeling, Decision Making, Control, and Other Areas -- Part III: Some Bibliometric Remarks.

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