Interval type-2 fuzzy C-means using multiple kernels
作者： Abhishek , Anubhav Jeph , Frank C.-H. Rhee
DOI: 10.1109/FUZZ-IEEE.2013.6622306
关键词:
摘要: In this paper, we propose an adaptive hybrid clustering method, where fuzzy C-means with multiple kernels (FCM-MK) has been combined interval type-2 C-means. the proposed Gaussian are used. The resolution-specific weight, membership values, and cluster prototypes decided in situ. calculation of prototypes, uncertainty associated fuzzifier parameter m is considered. doing so, a pattern set extended to sets using two fuzzifiers m1 m2, creating footprint (FOU) for m. This followed by type reduction defuzzification obtaining final location prototypes. Various experimental results shown validate effectiveness method.
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