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Linguistic Fuzzy Logic Methods in Social Sciences

by Arfi, Badredine.
Authors: SpringerLink (Online service) Series: Studies in Fuzziness and Soft Computing, 1434-9922 ; . 253 Physical details: 270p. 9 illus. online resource. ISBN: 3642133436 Subject(s): Engineering. | Artificial intelligence. | Engineering. | Computational Intelligence. | Artificial Intelligence (incl. Robotics).
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E-Book E-Book AUM Main Library 006.3 (Browse Shelf) Not for loan

Linguistic Fuzzy-Logic and Computing with Words -- Elements of Linguistic Fuzzy-Logic and Framework -- Linguistic Fuzzy-Logic Decision-Making Process -- Linguistic Fuzzy-Logic 2x2 Games -- Linguistic Fuzzy-Logic Social Game -- Linguistic Fuzzy-Logic and Causality -- Linguistic Fuzzy-Logic Data Analysis -- Conclusion.

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.

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