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Fuzzy classification maximum likelihood algorithms for mixed-Weibull distributions

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Abstract

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.

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Correspondence to Wen-Liang Hung.

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Hung, WL., Chang, YC. & Chuang, SC. Fuzzy classification maximum likelihood algorithms for mixed-Weibull distributions. Soft Comput 12, 1013–1018 (2008). https://doi.org/10.1007/s00500-007-0266-8

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