Idea about using ordinary least square by centroid methods for fuzzy pure spatial autoregressive model

	Idea about using ordinary least square by centroid methods for fuzzy pure spatial autoregressive model
International Journal of Nonlinear Analysis and Applications
مقاله 112، دوره 13، شماره 2، مهر 2022، صفحه 1367-1375 اصل مقاله (432.85 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.6254
نویسندگان
Jaufar Mousa Mohammed^* ¹؛ Maysoon M. Aziz²؛ Ammer Fadel Tawfeeq¹
¹Department statistics, College Administration and Economics, University of Kirkuk, Kirkuk, Iraq
²Department Mathematics, College Computer Sciences and Mathematics, University of Mosul, Iraq
چکیده
Introduce some ideas about applied of spatial regression models for independent and dependent fuzzy variables. while the parameters crisp values, which are estimated by the ordinary least squares method. This paper has been formulated fuzzy Pure Spatial Autoregressive Model (FPSAM) from a 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
fuzzy spatial regression models؛ fuzzy pure spatial autoregressive model؛ centroid method
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