Title :
A new Interval Type-2 Fuzzy Possibilistic C-Means clustering algorithm
Author :
E. Rubio;O. Castillo;P. Melin
Author_Institution :
Division of graduate studies and research, Tijuana Institute of Technology, Mé
Abstract :
In this paper we are presenting the extension of the Fuzzy Possibilistic C-Means (FPCM) algorithm using Type-2 Fuzzy Logic techniques, with the goal of improving the performance of this algorithm. We also performed the comparison of this proposed algorithm against the Interval Type-2 Fuzzy C-means (IT2FCM) algorithm to observe if the proposed approach performs better than this algorithm. The proposed extension was realized considering both of the weight exponents (fuzzy and possibilistic) the m and η as interval fuzzy sets.
Keywords :
"Clustering algorithms","Fuzzy sets","Mathematical model","Uncertainty","Fuzzy logic","Classification algorithms","Fuzzy systems"
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015 Annual Conference of the North American
DOI :
10.1109/NAFIPS-WConSC.2015.7284205
