A Human-Computer Cooperation Fuzzy c-Means Clustering with Interval-Valued Weights

In this paper, a fuzzy c‐means clustering algorithm based on interval‐valued weights is proposed for improving clustering performance. In the proposed algorithm, the interval‐valued weights are first constructed by synergy of the ReliefF algorithm and the analytic hierarchy process (AHP) method, and...

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Bibliographic Details

Published in:	International journal of intelligent systems Vol. 30; no. 2; pp. 81 - 98
Main Authors:	Lu, Wei, Zhang, Liyong, Liu, Xiaodong, Yang, Jianhua, Pedrycz, Witold
Format:	Journal Article
Language:	English
Published:	New York Blackwell Publishing Ltd 01.02.2015 John Wiley & Sons, Inc
Subjects:	Algorithms Clustering Cooperation Fuzzy Fuzzy logic Fuzzy set theory Intelligent systems Lagrange multiplier Mathematical analysis Mathematical models Optimization
ISSN:	0884-8173, 1098-111X
Online Access:	Get full text
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