Maximum likelihood for fuzzy pure spatial autoregressive model

Document Type : Research Paper


1 Department statistics, College Administration and Economics, University of Kirkuk, Kirkuk, Iraq

2 Department Mathematics, College Computer Sciences and Mathematics, University of Mosul, Mosul, Iraq


This paper deals with the study about the formulation of spatial regression models for independent and dependent fuzzy variables, while the parameters crisp values, which are estimated by the maximum likelihood method. In this paper, has been formulated Fuzzy Pure Spatial Autoregressive Model (FPSAM)  from the fuzzy general spatial model, and applied for Trapezoidal fuzzy number in the domain traffic accidents for a number of cities in Iraq for the year  2018 and that after converting the Trapezoidal fuzzy number into crisp values by centroid method, calculations the results by Matlab language.