سال انتشار: ۱۳۸۰

محل انتشار: اولین کنفرانس ملی مهندسی صنایع

تعداد صفحات: ۱۰

نویسنده(ها):

S. SAATI M – Department of Mathematics, Tehran-North Branch, Islamic Azad University, Tehran, Iran
A. MEMARIANI – Department of Industrial Engineering, Tarbiat Modarres University, Tehran, Iran.
JAHANSHAHLOO – Department of Mathematics, Teacher Training University, Tehran, Iran.

چکیده:

This paper proposes a method to solve possibilistic linear programming problems with triangular fuzzy parameters. The method relies on α-cuts of objective and constraints to generate a classical linear programming problem. In this paper, after eliciting the α-cuts, the resulted intervals are substituted by bounded variables. Then, a nonlinear programming problem is achieved which, is reduced to a linear programming problem
by suitable substitutions. A numerical example has been worked out to highlight the proposed method.