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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Vydané v:	Iranian journal of fuzzy systems (Online) Ročník 18; číslo 3; s. 179
Hlavní autori:	Houcine, L, Bouzbida, M, Chaari, A
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Zahedan University of Sistan and Baluchestan, Iranian Journal of Fuzzy Systems 01.05.2021
Predmet:	Algorithms Clustering Optimization
ISSN:	1735-0654, 2676-4334
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