Granular, Soft and Fuzzy Approaches for Intelligent Systems

Dedicated to Professor Ronald R. Yager

  • Janusz Kacprzyk
  • Dimitar Filev
  • Gleb Beliakov

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 344)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Information Theoretic and Aggregation Issues

    1. Front Matter
      Pages 1-1
    2. Enric Trillas, Rudolf Seising
      Pages 3-25
    3. Didier Dubois, Henri Prade, Agnès Rico
      Pages 27-45
    4. Bernadette Bouchon-Meunier, Christophe Marsala
      Pages 47-63
    5. H. Bustince, J. Fernandez, L. De Miguel, E. Barrenechea, M. Pagola, R. Mesiar
      Pages 65-79
    6. Paul Elmore, Frederick Petry
      Pages 81-97
  3. Applications in Modeling, Decision Making, Control, and Other Areas

    1. Front Matter
      Pages 99-99
    2. Leandro Maciel, Rosangela Ballini, Fernando Gomide
      Pages 119-139
    3. Gloria Bordogna, Simone Sterlacchini, Paolo Arcaini, Giacomo Cappellini, Mattia Cugini, Elisabetta Mangioni et al.
      Pages 171-189
    4. Pablo J. Villacorta, Carlos A. Rabelo, David A. Pelta, José Luis Verdegay
      Pages 209-230
  4. Some Bibliometric Remarks

    1. Front Matter
      Pages 231-231
    2. José M. Merigó, Anna M. Gil-Lafuente, Janusz Kacprzyk
      Pages 233-248

About this book


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.




Ordered Weighted Averaging Operators Geospatial Data Infrastructure Intuitionistic Fuzzy Sets Entropy Measures Measure Of Information Admissible Order Aggregation Functions Interval-Valued OWA Operators Sugeno Integrals Choquet Integrals Triangular Norms Look-Up Tables Stability Theory Fuzzy Controllers Possibilistic Fuzzy Modeling Risk Estimation Fuzzy Databases Fuzzy Probability

Editors and affiliations

  • Janusz Kacprzyk
    • 1
  • Dimitar Filev
    • 2
  • Gleb Beliakov
    • 3
  1. 1.Systems Research InstitutePolish Academy of SciencesWarsawPoland
  2. 2.Research and Innovation CenterFord Motor CompanyDearbornUSA
  3. 3.Deakin UniversityBurwoodAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-40312-0
  • Online ISBN 978-3-319-40314-4
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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