Titlebook: Computational Intelligence in Data Mining; Giacomo Riccia,Rudolf Kruse,Hanz-J. Lenz Conference proceedings 2000 Springer-Verlag Wien 2000

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Subhradev Sen,Suman K. Ghosh,Hazem Al-Moflehor all variables, if a simultaneous solution exists. Otherwise, it is flagged, that the data is inconsistent with the fuzzy model. We close with various scenarios illustrating the (reasonable) behaviour of the algorithm for solving such equations in the context of operative controlling.

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On the Solution of Fuzzy Equation Systems,connected by arithmetic operations. In order to allow for imprecision, each variable is modelled as a fuzzy set with a given membership function. Given a vector of observed variables and an equation system with terms built up by fuzzy sets, a controlling decision is to be made, whether the data set

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Learning Fuzzy Models and Potential Outliers, deal with outliers try to completely ignore them. This can be potentially harmful since the very outlier that was ignored might have described a rare but still extremely interesting phenomena. In this paper we describe an approach that tries to build an interpretable model while still maintaining a

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