Uncertainty Generation in Uncertain Fuzzy Logic Systems
作者： Janusz T Starczewski , Janusz T Starczewski
DOI: 10.1007/978-3-642-29520-1_5
关键词:
摘要: In this chapter, against the background of existing methods, we provide several methods to generate membership uncertainty. particular, present an approach multiperson decision making that generates triangular secondary memberships. Then, make use nonlinear fitting expand interval (as well as triangular) functions over data partitioned by fuzzy C-means algorithm. We also introduce incomplete and discrete information reasoning schema based on rough-fuzzy sets. Finally, apply generalized fuzzification performed either via possibility necessity measures or fuzzy-rough
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