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

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  • Arfi, Badredine

Abstract

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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  • Arfi, Badredine, 2005. "Fuzzy Decision Making in Politics: A Linguistic Fuzzy-Set Approach (LFSA)," Political Analysis, Cambridge University Press, vol. 13(1), pages 23-56, January.
    • Handle: RePEc:cup:polals:v:13:y:2005:i:01:p:23-56_00
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    Cited by:

    1. Scott R. Eliason & Robin Stryker, 2009. "Goodness-of-Fit Tests and Descriptive Measures in Fuzzy-Set Analysis," Sociological Methods & Research, , vol. 38(1), pages 102-146, August.
    2. Badredine Arfi, 2009. "Probing the Democratic Peace Argument Using Linguistic Fuzzy Logic," International Interactions, Taylor & Francis Journals, vol. 35(1), pages 30-57, March.
    3. Badredine Arfi, 2006. "Linguistic Fuzzy-Logic Game Theory," Journal of Conflict Resolution, Peace Science Society (International), vol. 50(1), pages 28-57, February.
    4. Badredine Arfi, 2006. "Linguistic Fuzzy-Logic Social Game of Cooperation," Rationality and Society, , vol. 18(4), pages 471-537, November.
    5. Badredine Arfi, 2013. "Causality in social theory via linguistic fuzzy logic," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 853-880, February.

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