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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Uncertainty Generation in Uncertain Fuzzy Logic Systems
verfasst von : Janusz T. Starczewski
Erschienen in: Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty
Verlag: Springer Berlin Heidelberg
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In this chapter, against the background of existing methods, we provide several methods to generate membership uncertainty. In particular, we present an approach to multiperson decision making that generates triangular secondary memberships. Then, we make use of nonlinear fitting to expand interval (as well as triangular) secondary membership functions over data partitioned by the fuzzy C-means algorithm. We also introduce an incomplete and discrete information reasoning schema based on rough-fuzzy sets. Finally, we apply generalized fuzzification performed either via possibility and necessity measures or by fuzzy-rough sets.