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http://dx.doi.org/10.5391/JKIIS.2017.27.2.099

Determining the Fuzzifier Values for Interval Type-2 Possibilistic Fuzzy C-means Clustering  

Joo, Won-Hee (Deparment of Electronic and Communication Engineering, Hanyang University)
Rhee, Frank Chung-Hoon (School of Electronic Engineering, Hanyang University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.27, no.2, 2017 , pp. 99-105 More about this Journal
Abstract
Type-2 fuzzy sets are preferred over type-1 sets as they are capable of addressing uncertainty more efficiently. The fuzzifier values play pivotal role in managing these uncertainties; still selecting appropriate value of fuzzifiers has been a tedious task. Generally, based on observation particular value of fuzzifier is chosen from a given range of values. In this paper we have tried to adaptively compute suitable fuzzifier values of interval type-2 possibilistic fuzzy c-means (IT2 PFCM) for a given data. Information is extracted from individual data points using histogram approach and this information is further processed to give us the two fuzzifier values $m_1$, $m_2$. These obtained values are bounded within some upper and lower bounds based on interval type-2 fuzzy sets.
Keywords
Fuzzy sets; Interval type-2 fuzzy sets; Interval type-2 PFCM; Fuzzifier; Histogram methods;
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Times Cited By KSCI : 2  (Citation Analysis)
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