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• W2163363151 abstract "Fuzzy Cognitive Maps (FCMs) have been widely used for a plethora of applications, exploiting its ability to represent the knowledge and the dynamics of a system. The diversity of inference mechanisms, which have been proposed until nowadays, discloses the effort for an effective concept value calculation methodology. In contrast with the most research efforts which consider a linear relation of the influence that a concept exercise to another concept, in this paper a nonlinear representation of that influence is introduced. The importance which is associated with the proposed methodology is that a nonlinear cause-effect relationship strengthens the behavior of an FCM through the simulation process. The analysis of this proposal through a progressive reasoning is followed by appropriately selected problems." @default.
• W2163363151 created "2016-06-24" @default.
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• W2163363151 date "2011-06-01" @default.
• W2163363151 modified "2023-09-26" @default.
• W2163363151 title "Nonlinear cause-effect relationships in Fuzzy Cognitive Maps" @default.
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• W2163363151 doi "https://doi.org/10.1109/fuzzy.2011.6007554" @default.
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