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Fuzzy classification maximum likelihood algorithms for mixed-Weibull distributions
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Fuzzy classification maximum likelihood algorithms for mixed-Weibull distributions

Wen-Liang Hung, Yen-Chang Chang 和 Shun-Chin Chuang
Soft Computing, 卷.12(10), 頁碼.1013-1018
2008
DOI: https://doi.org/10.1007/s00500-007-0266-8

摘要

EM algorithm Fuzzy class model Fuzzy clustering algorithm Mixed-Weibull distribution Software Theoretical Computer Science Geometry and Topology
In this paper we propose an efficient algorithm based on Yang's (Fuzzy Sets Syst 57:365-337, 1993) concept, namely the fuzzy classification maximum likelihood (FCML) algorithm, to estimate the mixed-Weibull parameters. Compared with EM and Jiang and Murthy (IEEE Trans Reliab 44:477-488, 1995) methods, the proposed FCML algorithm presents better accuracy. Thus, we recommend FCML as another acceptable method for estimating the mixed-Weibull parameters. © Springer-Verlag 2007.

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