Linguistic Fuzzy Logic Methods in Social Sciences

  • Badredine Arfi

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

Table of contents

  1. Front Matter
  2. Badredine Arfi
    Pages 63-103
  3. Badredine Arfi
    Pages 105-119
  4. Badredine Arfi
    Pages 121-154
  5. Badredine Arfi
    Pages 155-173
  6. Badredine Arfi
    Pages 175-179
  7. Back Matter

About this book

Introduction

The book, titled “Linguistic Fuzzy-Logic Methods in Social Sciences,” is a first in its kind. Linguistic fuzzy logic theory deals with sets or categories whose boundaries are blurry or, in other words, “fuzzy,” and which are expressed in a formalism that uses “words” to compute, not numbers, termed in engineering as “soft computing.” This book presents an accessible introduction to this linguistic fuzzy logic methodology, focusing on its applicability to social sciences. Specifically, this is the first book to propose an approach based on linguistic fuzzy-logic and the method of computing with words to the analysis of decision making processes, strategic interactions, causality, and data analysis in social sciences. The project consists of systematic, theoretical and practical discussions and developments of these new methods as well as their applications to various substantive issues of interest to international relations scholars, political scientists, and social scientists in general.

Keywords

Linguistic Fuzzy Logic Methods Type-2 Fuzzy Sets fuzziness fuzzy fuzzy logic logic

Authors and affiliations

  • Badredine Arfi
    • 1
  1. 1.Department of Political ScienceUniversity of Florida GainesvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-13343-5
  • Copyright Information Springer Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-13342-8
  • Online ISBN 978-3-642-13343-5
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book