A divide and conquer method for learning large Fuzzy Cognitive Maps

Abstract

Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentum due to their simplicity and easiness of use. However, these models are usually generated manually, and thus they cannot be applied when dealing with large number of variables. In… (More)
DOI: 10.1016/j.fss.2010.04.008

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