مشخصات پژوهش

عنوان	Pareto-optimal solutions in multi-objective linear programming with fuzzy numbers
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Fuzzy linear programming, Multi-objective linear programming, Pareto- optimal solution, Ranking function, Supply chain, Trapezoidal fuzzy numbers.
چکیده	Supply chain has attracted many interests in operations research area. The supplier selection problem is one of the most interest- ing problem in supply chain subject and its solution process is related to a multi-objective programming model. In this paper, we consider a Multi- Objective Linear Programming with Fuzzy Numbers (FNMOLP) problem. In fact, we try to reduce the multi-objective linear programming with fuzzy numbers to the classical multi-objective linear programming using a lin- ear ranking function. Finally we solve the obtained Multi-Objective Linear Programming (MOLP) by max-min operator and weighted method. We ¯- nally illustrate the mentioned approach with presenting a case study which is formulated from an automobile industrial.
پژوهشگران	ام کلثوم خزایی کوه پر (نفر دوم)، سید هادی ناصری (نفر اول)