سال انتشار: ۱۳۸۶

محل انتشار: اولین کنفرانس بین المللی تحقیق در عملیات ایران

تعداد صفحات: ۲

نویسنده(ها):

H Hassanpur – Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, I.R. of Iran
H. R Maleki – Faculty of Basic Sciences, Shiraz University of Technology, Shiraz, I.R. of Iran

چکیده:

Most of previous works on fuzzy linear regression concentrated on minimizing a function of spreads of fuzzy numbers, and did not take to account the centers of them, which may be important for decision maker. In this paper a goal programming approach is proposed in which both spreads and centers of fuzzy data are considered in the model. In contrast to the most of previous methods, handling both symmetric and asymmetric trapezoidal and triangular fuzzy data is another feature of proposed approach