Using Fuzzy Cognitive Maps as a Decision Support System for Political Decisions

Abstract

Abstract. In this paper we use Fuzzy Cognitive Maps (FCMs), a wellestablished Artificial Intelligence technique that incorporates ideas from Artificial Neural Networks and Fuzzy Logic, to create a dynamic model of the Former Yugoslavian Republic of Macedonia (FYROM) Crisis in March 2001. FCMs create models as collections of concepts and the various causal relations that exist between these concepts. The decision capabilities of the FCM structure are examined and presented using a model that is developed based on the beliefs of a domain expert. The model is first examined statically using graph theory techniques to identify the vicious or the virtuous cycles of the decision process. The model is also tested dynamically thought simulations, in order to support political analysts and decision makers to their political decisions concerning the crisis. Scenarios are introduced and predictions are made by viewing dynamically the consequences of the corresponding actions.

A Holistic Conception of Sustainable Banking: Adding Value With Fuzzy Cognitive Mapping

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Understanding the dynamics behind bank branch service quality in Portugal: pursuing a holistic view using fuzzy cognitive mapping

“…Carlucci et al 2013). This type of cognitive mapping has since been applied in a wide range of different decision situations (an extensive deliberation falls outside of the scope of this paper; but for further discussion, see Tsadiras et al 2003;Kok 2009;Salmeron 2009;Yaman and Polat 2009;Papageorgiou et al 2012;Salmeron 2012).…”

Are You Pleased With Your Neighborhood? A Fuzzy Cognitive Mapping-Based Approach for Measuring Residential Neighborhood Satisfaction in Urban Communities

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