PARAMETER ESTIMATION FOR PARETO DISTRIBUTION AND TYP E-I I FUZZY LOGIC

Authors : Kamile Şanlı Kula, Türkan Erbay Dalkılıç

Pages : 251-258

View : 23 | Download : 15

Publication Date : 2017-03-14

Article Type : Other Papers

Abstract :While parameter estimation by the classical methods there are a number of assumptions need to be satisfied, in the linear regression analysis.  One of them is errors are normally distributed. In this work, the case that  independent variable has Pareto distribution to be discussed and an algorithm  using adaptive networks suggested to parameter estimation where the k which  is one of the parameters of the fuzzy membership functions is fuzzy. Also  the parameter of fuzzy membership function is fuzzy the estimation process is  based on type-II fuzzy logic.
Keywords : Pareto distribution, type II fuzzy logic, membership function