Maximum likelihood for fuzzy pure spatial autoregressive model | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 188، دوره 13، شماره 1، خرداد 2022، صفحه 2267-2277 اصل مقاله (445.25 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.5925 | ||
| نویسندگان | ||
| Jaufar Mousa Mohammed* 1؛ Ammer Fadel Tawfeeq1؛ Maysoon M. Aziz2 | ||
| 1Department statistics, College Administration and Economics, University of Kirkuk, Kirkuk, Iraq | ||
| 2Department Mathematics, College Computer Sciences and Mathematics, University of Mosul, Mosul, Iraq | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Fuzz spatial regression models؛ fuzzy pure spatial؛ autoregressive model؛ centroid method | ||
| مراجع | ||
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