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Linguistic Fuzzy Logic Methods in Social Sciences

  • Book
  • © 2010

Overview

Authors:
  1. Badredine Arfi

    1. Department of Political Science, University of Florida , Gainesville, USA

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  • Pioneering book demonstrating the analytic power of the combination of linguistic fuzzy logic methods and type-2 fuzzy sets
  • Presents Linguistic Fuzzy Logic Methods applied to Social Sciences
  • Written by a leading expert in the field

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 253)

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Table of contents (8 chapters)

  1. Front Matter

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  2. Linguistic Fuzzy-Logic and Computing with Words

    • Badredine Arfi
    Pages 1-17

  3. Elements of Linguistic Fuzzy-Logic and Framework

    • Badredine Arfi
    Pages 19-41

  4. Linguistic Fuzzy-Logic Decision-Making Process

    • Badredine Arfi
    Pages 43-62

  5. Linguistic Fuzzy-Logic 2x2 Games

    • Badredine Arfi
    Pages 63-103

  6. Linguistic Fuzzy-Logic Social Game

    • Badredine Arfi
    Pages 105-119

  7. Linguistic Fuzzy-Logic and Causality

    • Badredine Arfi
    Pages 121-154

  8. Linguistic Fuzzy-Logic Data Analysis

    • Badredine Arfi
    Pages 155-173

  9. Conclusion

    • Badredine Arfi
    Pages 175-179

  10. Back Matter

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Keywords

About this book

The modern origin of fuzzy sets, fuzzy algebra, fuzzy decision making, and “computing with words” is conventionally traced to Lotfi Zadeh’s publication in 1965 of his path-breaking refutation of binary set theory. In a sixteen-page article, modestly titled “Fuzzy Sets” and published in the journal Information and Control, Zadeh launched a multi-disciplinary revolution. The start was relatively slow, but momentum gathered quickly. From 1970 to 1979 there were about 500 journal publications with the word fuzzy in the title; from 2000 to 2009 there were more than 35,000. At present, citations to Zadeh’s publications are running at a rate of about 1,500-2,000 per year, and this rate continues to rise. Almost all applications of Zadeh’s ideas have been in highly technical scientific fields, not in the social sciences. Zadeh was surprised by this development. In a personal note he states: “When I wrote my l965 paper, I expected that fuzzy set theory would be applied primarily in the realm of human sciences. Contrary to my expectation, fuzzy set theory and fuzzy logic are applied in the main in physical and engineering sciences.” In fact, the first comprehensive examination of fuzzy sets by a social scientist did not appear until 1987, a full twenty-two years after the publication of Zadeh’s seminal article, when Michael Smithson, an Australian psychologist, published Fuzzy Set Analysis for Behavioral and Social Sciences.

Authors and Affiliations

  • Department of Political Science, University of Florida , Gainesville, USA

    Badredine Arfi

Bibliographic Information

  • Book Title: Linguistic Fuzzy Logic Methods in Social Sciences

  • Authors: Badredine Arfi

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-642-13343-5

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Berlin Heidelberg 2010

  • Hardcover ISBN: 978-3-642-13342-8Published: 19 June 2010

  • Softcover ISBN: 978-3-642-42237-9Published: 13 November 2014

  • eBook ISBN: 978-3-642-13343-5Published: 14 July 2010

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XVI, 185

  • Topics: Computational Intelligence, Artificial Intelligence

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