1403/01/10
سید هادی ناصری

سید هادی ناصری

مرتبه علمی: دانشیار
ارکید:
تحصیلات: دکترای تخصصی
اسکاپوس:
دانشکده: دانشکده علوم ریاضی
نشانی:
تلفن: 01135302472

مشخصات پژوهش

عنوان
Pareto-optimal solutions in multi-objective linear programming with fuzzy numbers
نوع پژوهش
JournalPaper
کلیدواژه‌ها
Fuzzy linear programming, Multi-objective linear programming, Pareto- optimal solution, Ranking function, Supply chain, Trapezoidal fuzzy numbers.
سال
2015
مجله Annals of Fuzzy Mathematics and Informatics
شناسه DOI
پژوهشگران Seyed Hadi Nasseri ، om kolsom khazaee kohpar

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.