Bulanık Regresyon Analizinde Monte Carlo Yöntemi ve Uzman Sistemler

Abstract

In this study, the use of fuzzy expert system in Monte Carlo method, which is used for estimating fuzzy linear regression model parameters, is proposed for determining the parameter intervals for the first time.For this purpose, definitions used in the thesis and Monte Carlo method in fuzzy linear regression analysis are described in the second and third sections respectively. Fuzzy expert systems which are sub-branch of artificial intelligence are described in the fourth section. The calculation of the optimum interval for fuzzy linear regression model with fuzzy expert systems which are created by the help of linguistic expressions that are used in daily life rather than to use long and tiring mathematical operations is proposed in section five. By using these intervals, fuzzy linear regression model parameter estimation is made in section six with Monte Carlo method. Fuzzy linear regression model for two different cases is discussed.