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Political Analysis 2005 13(1):23-56; doi:10.1093/pan/mpi002
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Political Analysis, Vol. 13 No. 1, © Society for Political Methodology 2005; all rights reserved.

Fuzzy Decision Making in Politics: A Linguistic Fuzzy-Set Approach (LFSA)

Badredine Arfi

Department of Political Science, Southern Illinois University, Faner Hall, Mailcode 4501, Carbondale, IL 62901
e-mail: barfi{at}siu.edu

In this article I use linguistic fuzzy-set theory to analyze the process of decision making in politics. I first introduce a number of relevant elements of (numerical and linguistic) fuzzy-set theory that are needed to understand the terminology as well as to grasp the scope and depth of the approach. I then explicate a linguistic fuzzy-set approach (LFSA) to the process of decision making under conditions in which the decision makers are required to simultaneously satisfy multiple criteria. The LFSA approach is illustrated through a running (hypothetical) example of a situation in which state leaders need to decide how to combine trust and power to make a choice on security alignment.


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