An Algorithm for Detecting Unimodal Fuzzy Sets and Its Application as a Clustering Technique
作者： I. Gitman , M.D. Levine
关键词: Membership function 、 Mathematics 、 Pattern recognition 、 Neuro-fuzzy 、 Fuzzy set 、 Algorithm 、 Fuzzy set operations 、 Artificial intelligence 、 Fuzzy number 、 Fuzzy clustering 、 Defuzzification 、 Fuzzy classification 、 Theoretical computer science 、 Hardware and Architecture 、 Computational Theory and Mathematics 、 Software
摘要: An algorithm is presented which partitions a given sample from multimodal fuzzy set into unimodal sets. It proven that if certain assumptions are satisfied, then the will derive optimal partition in sense of maximum separation.
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