Open AccessEstimate the parameters of Weibull distribution by using nonlinear membership function by Gaussian function
Author(s) -
Suhaila N. Abdullah,
Iden Hasan Huessian
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1591/1/012040
Subject(s) - weibull distribution , mathematics , estimator , statistics , weibull modulus , membership function , gaussian function , gaussian , function (biology) , exponentiated weibull distribution , nonlinear system , mathematical optimization , fuzzy logic , computer science , fuzzy set , artificial intelligence , physics , quantum mechanics , evolutionary biology , biology
The main aim of the presented study is estimating the parameters of Weibull distribution by utilizing simulation to generated the samples size when n=10, 50,100. Considering in the current study the parameters estimator of Weibull membership function, then using the nonlinear membership function for Gaussian function to find the fuzzy number for these parameters estimator. After that utilizing the ranking function to transform the fuzzy number to crisp number.