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idea about using ordinary least square by centroid methods for fuzzy pure spatial autoregressive model
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نویسنده
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mohammed jaufar mousa ,aziz maysoon m. ,tawfeeq ammer fadel
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منبع
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international journal of nonlinear analysis and applications - 2022 - دوره : 13 - شماره : 2 - صفحه:1367 -1375
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چکیده
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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.
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کلیدواژه
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fuzzy spatial regression models ,fuzzy pure spatial autoregressive model ,centroid method
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آدرس
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university of kirkuk, college administration and economics, department statistics, iraq, university of mosul, college computer sciences and mathematics, department mathematics, iraq, university of kirkuk, college administration and economics, department statistics, iraq
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پست الکترونیکی
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asas1964@uokirkuk.edu.iq
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Authors
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