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Granular, Soft and Fuzzy Approaches for Intelligent Systems

Dedicated to Professor Ronald R. Yager

  • Book
  • © 2017

Overview

Editors:
  1. Janusz Kacprzyk

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

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    You can also search for this editor in PubMed   Google Scholar

  2. Dimitar Filev

    1. Research and Innovation Center, Ford Motor Company, Dearborn, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Gleb Beliakov

    1. Deakin University, Burwood, Australia

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  • Discusses novel research directions in the field of intelligent systems
  • Gives emphasis to granular computing-, soft computing- and fuzzy logic- based approaches
  • Describes new models for decision making, control, and data and system analysis
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Information Theoretic and Aggregation Issues

    1. Front Matter

      Pages 1-1
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    2. On the Meaning and the Measuring of ‘Probable’

      • Enric Trillas, Rudolf Seising
      Pages 3-25

    3. Organizing Families of Aggregation Operators into a Cube of Opposition

      • Didier Dubois, Henri Prade, Agnès Rico
      Pages 27-45

    4. Entropy Measures and Views of Information

      • Bernadette Bouchon-Meunier, Christophe Marsala
      Pages 47-63

    5. OWA Operators and Choquet Integrals in the Interval-Valued Setting

      • H. Bustince, J. Fernandez, L. De Miguel, E. Barrenechea, M. Pagola, R. Mesiar
      Pages 65-79

    6. Information Theory Applications in Soft Computing

      • Paul Elmore, Frederick Petry
      Pages 81-97

  3. Applications in Modeling, Decision Making, Control, and Other Areas

    1. Front Matter

      Pages 99-99
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    2. On Practical Applicability of the Generalized Averaging Operator in Fuzzy Decision Making

      • Uzay Kaymak
      Pages 101-118

    3. Evolving Possibilistic Fuzzy Modeling and Application in Value-at-Risk Estimation

      • Leandro Maciel, Rosangela Ballini, Fernando Gomide
      Pages 119-139

    4. Using Similarity and Dissimilarity Measures of Binary Patterns for the Comparison of Voting Procedures

      • Janusz Kacprzyk, Hannu Nurmi, Sławomir Zadrożny
      Pages 141-169

    5. A Geo-Spatial Data Infrastructure for Flexible Discovery, Retrieval and Fusion of Scenario Maps in Preparedness of Emergency

      • Gloria Bordogna, Simone Sterlacchini, Paolo Arcaini, Giacomo Cappellini, Mattia Cugini, Elisabetta Mangioni et al.
      Pages 171-189

    6. The Multiple Facets of Fuzzy Controllers: Look-up-Tables—A Special Class of Fuzzy Controllers

      • Dimitar Filev, Hao Ying
      Pages 191-208

    7. FuzzyLP: An R Package for Solving Fuzzy Linear Programming Problems

      • 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
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    2. A Bibliometric Analysis of the Publications of Ronald R. Yager

      • José M. Merigó, Anna M. Gil-Lafuente, Janusz Kacprzyk
      Pages 233-248
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Keywords

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.

 

 

Editors and Affiliations

  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  • Research and Innovation Center, Ford Motor Company, Dearborn, USA

    Dimitar Filev

  • Deakin University, Burwood, Australia

    Gleb Beliakov

Bibliographic Information

  • Book Title: Granular, Soft and Fuzzy Approaches for Intelligent Systems

  • Book Subtitle: Dedicated to Professor Ronald R. Yager

  • Editors: Janusz Kacprzyk, Dimitar Filev, Gleb Beliakov

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-319-40314-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2017

  • Hardcover ISBN: 978-3-319-40312-0Published: 22 November 2016

  • Softcover ISBN: 978-3-319-82076-7Published: 23 June 2018

  • eBook ISBN: 978-3-319-40314-4Published: 14 November 2016

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XVIII, 248

  • Number of Illustrations: 26 b/w illustrations, 14 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Mathematical Applications in Computer Science

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