Constructing fuzzy linear regression model with normal fuzzy data by using a goal programming approach
عنوان مقاله: Constructing fuzzy linear regression model with normal fuzzy data by using a goal programming approach
شناسه ملی مقاله: ICIORS10_090
منتشر شده در دهمین کنفرانس بین المللی انجمن تحقیق در عملیات ایران در سال 1396
شناسه ملی مقاله: ICIORS10_090
منتشر شده در دهمین کنفرانس بین المللی انجمن تحقیق در عملیات ایران در سال 1396
مشخصات نویسندگان مقاله:
Elham Hosseinzadeh - Department of Mathematics, Kosar university of Bojnord, Bojnord, Iran
خلاصه مقاله:
Elham Hosseinzadeh - Department of Mathematics, Kosar university of Bojnord, Bojnord, Iran
In this paper, we offered a new method for fit a fuzzy linear regression model by considering its parameters as normal fuzzy number. To calculate the regression coefficients, a nonlinear programming model is formulated based on a new distance between normal fuzzy numbers. The nonlinear programming can be converted to a goal programming model by choosing appropriate deviation Variables and then to a linear programming which solved simply by simplex.
کلمات کلیدی: Goal programming; Fuzzy linear regression, Normal fuzzy number
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/766824/