Linguistic Fuzzy Logic Methods in Social Sciences

✍ Scribed by Badredine Arfi (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2010
• Tongue: English
• Leaves: 193
• Series: Studies in Fuzziness and Soft Computing 253
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages -
Linguistic Fuzzy-Logic and Computing with Words....Pages 1-17
Elements of Linguistic Fuzzy-Logic and Framework....Pages 19-41
Linguistic Fuzzy-Logic Decision-Making Process....Pages 43-62
Linguistic Fuzzy-Logic 2x2 Games....Pages 63-103
Linguistic Fuzzy-Logic Social Game....Pages 105-119
Linguistic Fuzzy-Logic and Causality....Pages 121-154
Linguistic Fuzzy-Logic Data Analysis....Pages 155-173
Conclusion....Pages 175-179
Back Matter....Pages -

✦ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics)