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A method for solving possibilistic multi-objective linear programming problems with fuzzy decision variables | ||
| Industrial Management Journal | ||
| مقاله 5، دوره 6، شماره 4، فروردین 2015، صفحه 709-724 اصل مقاله (860.46 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/imj.2014.51985 | ||
| نویسندگان | ||
| Mahnaz Hosseinzadeh1؛ Mohammad Bagher Menhaj2؛ Aliyeh Kazemi* 3 | ||
| 1PhD of Operations Research Management, University of Tehran, Tehran, Iran | ||
| 2Prof. in Electrical Engineering, Amirkabir University of Technology, Tehran, Iran | ||
| 3Assistant Prof., Industrial Management, University of Tehran, Tehran, Iran | ||
| چکیده | ||
| [Naeini1] In this paper, a new method is proposed to find the fuzzy optimal solution of fuzzy multi-objective linear programming problems (FMOLPp) with fuzzy right hand side and fuzzy decision variables. Due to the imprecise nature of available resources, determination of a definitive solution to the model seems impossible. Therefore, the proposed model is designed in order to make fuzzy decisions. The model resolves the deficiencies of the previous models presented in this field and its main advantage is simplicity. To illustrate the efficiency of the proposed method, it is applied to the problem of allocating orders to suppliers. Due to the nature of the fuzzy solutions obtained from solving the model, the decision maker will be faced with more flexibility in decision making. | ||
| کلیدواژه‌ها | ||
| Allocation؛ fuzzy decision variable؛ fuzzy ranking؛ multi-objective linear programming؛ possibilistic linear programming؛ Triangular Fuzzy Numbers | ||
| مراجع | ||
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