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FROM ABSOLUTE TO PROBABLE AND FUZZY IN DECISION‐MAKING

JOHN P. VAN GIGCH (California State University, Sacramento, California, CA 95819 (U.S.A.))
L.L. PIPINO (University of Missouri‐St. Louis, Missouri, MO 63121 (U.S.A.))

Kybernetes

ISSN: 0368-492X

Article publication date: 1 January 1980

Abstract

General Systems Theory postulates the existence of many general theories that serve to describe isomorphisms across systems. The theory of Fuzzy Sets can be considered as one particular general theory which describes the phenomenon of ambiguity across all systems displaying this property and its consequences. Fuzzy Set Theory is a mathematical development that holds great promise in becoming the metalanguage of ambiguity, in a way parallel to Statistics and Probability Theory which represent the metalanguage of uncertainty. Fuzzy Sets appear particularly well suited to model ambiguity in the context of the systems paradigm which has been offered as a counterpart to the traditional science paradigm. A decision model is used to discuss the differences between these two paradigms and to show the role which Fuzzy Sets can play in resolving some of the epistemological problems in the domain of the social sciences.

Citation

VAN GIGCH, J.P. and PIPINO, L.L. (1980), "FROM ABSOLUTE TO PROBABLE AND FUZZY IN DECISION‐MAKING", Kybernetes, Vol. 9 No. 1, pp. 47-55. https://doi.org/10.1108/eb005542

Publisher

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MCB UP Ltd

Copyright © 1980, MCB UP Limited