Improved fuzzy clustering algorithm using adaptive particle swarm optimization for nonlinear system modeling and identification

In this paper, an improved Type2-PCM clustering algorithm based on improved adaptive particle swarm optimization called Type2-PCM-IAPSO is proposed. Firstly, a new clustering algorithm called Type2-PCM is proposed. The Type2-PCM algorithm can solve the problems encountered by fuzzy c-means algorithm...

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Bibliographic Details
Published in:	Iranian journal of fuzzy systems (Online) Vol. 18; no. 3; p. 179
Main Authors:	Houcine, L, Bouzbida, M, Chaari, A
Format:	Journal Article
Language:	English
Published:	Zahedan University of Sistan and Baluchestan, Iranian Journal of Fuzzy Systems 01.05.2021
Subjects:	Algorithms Clustering Optimization
ISSN:	1735-0654, 2676-4334
Online Access:	Get full text
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