Titlebook: Linguistic Fuzzy Logic Methods in Social Sciences; Badredine Arfi Book 2010 Springer Berlin Heidelberg 2010 Linguistic Fuzzy Logic Methods

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Linguistic Fuzzy-Logic Decision-Making Process,ke their decisions. The chapter considers situations where the actors engage in a process of evaluating the merits of different choice alternatives under multiple criteria – a process of Multiple Criteria Decision Making. A key question of this chapter is: how do actors aggregate the vague informati

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Linguistic Fuzzy-Logic 2x2 Games,ic nature of strategic communication – linguistic fuzzy logic which ”computes with words” all the way down offers a way out of this dilemma. On the one hand, gametheoretic methodologies are inescapably based on a posited underlying logic. The latter is what guides us in judging whether a game-theore

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Linguistic Fuzzy-Logic Data Analysis,limited in social sciences, and more so in political science and International Relations. For the most part scholars use statistical means to analyze data. However, as succinctly put by Braumoeller (2003:209), ”theories that posit complex causation, or multiple causal paths, pervade the study of pol

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Badredine ArfiPioneering book demonstrating the analytic power of the combination of linguistic fuzzy logic methods and type-2 fuzzy sets.Presents Linguistic Fuzzy Logic Methods applied to Social Sciences.Written b

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Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/l/image/586679.jpg