Title of article
Maximum likelihood for fuzzy pure spatial autoregressive model
Author/Authors
Mousa Mohammed, Jaufar Department statistics - College Administration and Economics - University of Kirkuk, Kirkuk, Iraq , Fadel Tawfeeq, Ammer Department statistics - College Administration and Economics - University of Kirkuk, Kirkuk, Iraq , Aziz, Maysoon M. Department Mathematics - College Computer Sciences and Mathematics - University of Mosul, Mosul, Iraq
Pages
11
From page
2267
To page
2277
Abstract
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.
Keywords
Fuzz spatial regression models , fuzzy pure spatial , autoregressive model , centroid method
Journal title
International Journal of Nonlinear Analysis and Applications
Serial Year
2022
Record number
2713105
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