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- W2186701796 abstract "Fuzzy Cognitive Maps (FCMs) model the behavior of a system by using concepts and their relationships. They contain nodesnconcepts and weighted edges that connect the nodes and represent the cause and effect relationships among them. Both nodes and edges are fuzzy sets and are bounded in ranges provided by the experts for the problem under consideration. Membership functions are rstly determined for each fuzzy set, and fuzzication and defuzzication processes are applied for the initial crisp values. In this work, the Interval Cognitive Maps (ICMs) are proposed and the associated learning task is accomplished by the optimization of an objective function. ICMs share the same structure with FCMs but their main difference is that the concepts and the weights of FCMs are not fuzzy sets but rather interval numbers." @default.
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- W2186701796 date "2005-01-01" @default.
- W2186701796 modified "2023-09-27" @default.
- W2186701796 title "Interval Cognitive Maps" @default.
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