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:: Volume 14, Issue 1 (8-2020) ::
JSS 2020, 14(1): 175-194 Back to browse issues page
Determine the Optimal Bayesian Fuzzy Membership Function Using Fuzzy Data
Shadi Saeidi Jeyberi * , Mohammadreza Zadkarami , Gholamali Parham
Abstract:   (3485 Views)
In this paper, Bayesian fuzzy estimator is obtained first, for the fuzzy data based on the probability prior distribution and afterward based on the possible model and the possibility of a prior distribution. Considering the effect of the membership functions on the fuzzy and possibility Bayesian estimators, a membership function that gives the optimal fuzzy and possibility Bayesian estimators will be introduced for the data. The optimality of the new triangular-gaussian membership function is denoted by using the normal and exponential data sets.
Keywords: Membership Function, Triangular-Gussian Membership Function, Posterior Bayes Risk, Estimation of Fuzzy Bayes, Estimation of Possibility Bayes.
Full-Text [PDF 292 kb]   (1494 Downloads)    
Type of Study: Research | Subject: Statistical Inference
Received: 2018/03/25 | Accepted: 2019/07/8 | Published: 2020/02/20
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Saeidi Jeyberi S, Zadkarami M, Parham G. Determine the Optimal Bayesian Fuzzy Membership Function Using Fuzzy Data. JSS 2020; 14 (1) :175-194
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 14, Issue 1 (8-2020) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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