Fuzzy Nonlinear Optimization for the Linear Fuzzy Real Number System
نویسندگان
چکیده
Quite a few problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made under uncertainty. In this paper, we focus on Fuzzy nonlinear optimization problems in the Linear Fuzzy Real (LFR) numbers. The problems will consist of fuzzy constraints and objective functions, crisp constraints with a fuzzy objective function, or fuzzy constraints with a crisp objective function. In this paper, we propose LFR Newton’s method for solving nonlinear systems and use it to solve optimization problems. Mathematics Subject Classification: 90C70
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تاریخ انتشار 2008