The stability of parameter estimation of fuzzy variables
Kybernetika, Tome 45 (2009) no. 3, pp. 529-540

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Recently, the parameter estimations for normal fuzzy variables in the Nahmias' sense was studied by Cai [4]. These estimates were also studied for general $T$-related, but not necessarily normal fuzzy variables by Hong [10] In this paper, we report on some properties of estimators that would appear to be desirable, including unbiasedness. We also consider asymptotic or “large-sample” properties of a particular type of estimator.
Recently, the parameter estimations for normal fuzzy variables in the Nahmias' sense was studied by Cai [4]. These estimates were also studied for general $T$-related, but not necessarily normal fuzzy variables by Hong [10] In this paper, we report on some properties of estimators that would appear to be desirable, including unbiasedness. We also consider asymptotic or “large-sample” properties of a particular type of estimator.
Classification : 03E72, 28E10, 62F86, 62L12
Keywords: duzzy variables; parameter estimation; consistency; MSE; stability of estimation
Hong, Dug Hun. The stability of parameter estimation of fuzzy variables. Kybernetika, Tome 45 (2009) no. 3, pp. 529-540. http://geodesic.mathdoc.fr/item/KYB_2009_45_3_a10/
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     title = {The stability of parameter estimation of fuzzy variables},
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     zbl = {1173.28306},
     language = {en},
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