مشخصات پژوهش

صفحه نخست /Optimal Decision Making for ...
عنوان Optimal Decision Making for Fractional Multi-commodity Network Flow Problem in a Multi-choice Fuzzy Stochastic Hybrid Environment
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها Multi-choice programming · Fractional programming · Probability-possibility approach · Multi-commodity- transportation problem
چکیده In this paper, a fractional multi-commodity network fow problem with multi-choice parameters is studied under hybrid fuzzy-stochastic conditions. In this problem, coefcients of the objective function in both the nominator and denominator take the form of multi-choice parameters, with the alternative choices for the nominator and denominator of the fraction being represented by fuzzy-stochastic and fuzzy variables, respectively. The arc capacities are also considered as fuzzy-stochastic variables. The main goal of the present research is to provide the decision-maker with a model by the help of which he/she can manage unknown factors across a multi-commodity network. Given that this problem is herein investigated in a hybrid fuzzy-stochastic environment and includes multi-choice parameters, we use the probability-possibility approach, Lagrange interpolating polynomial, and the Charnes–Cooper variable transformation technique to convert the problem into a deterministic one. Finally, efciency of the proposed model is evaluated by presenting a couple of numerical instances.
پژوهشگران سید هادی ناصری (نفر دوم)، سلیم باوندی (نفر اول)