A signed distance method for solving multi-objective transportation problems in fuzzy environment

Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
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JR_RIEJ-8-3_006

تاریخ نمایه سازی: 30 فروردین 1400

Abstract:

This paper aims to study the multi-objective transportation problem with fuzzy parameters. These fuzzy parameters represented as (α, β) interval-valued fuzzy numbers instead of the normal fuzzy numbers. Using the signed distance ranking, the problem converted into the corresponding crisp multi-objective transportation problem. Then, the solution method introduced by [8] for solving the problem is applied. This method provides the ideal and the set of all fuzzy (α, β) efficient solutions. The advantage of this method is more flexible than the standard multi-objective transportation problem, where it allows the decision maker to choose the (α, β) levels of fuzzy numbers he is willing. A numerical example to illustrate the utility, effectiveness, and applicability of the method is given.

Authors

H. Abd El-Wahed Khalifa

Department of Operations Research, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt.

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  • [1]      Bellman, R. E., & Zadeh, L. A. (1970). Decision-making ...
  • [2]      Bit, A. K., Biswal, M. P., & Alam, S. ...
  • [3]      Chanas, S., Kołodziejczyk, W., & Machaj, A. (1984). A ...
  • [4]      Chiang, J. (2001). Fuzzy linear programming based on statistical ...
  • [5]      Dubois, D., & Prade, H. (1980). Systems of linear ...
  • [6]      Ezzati, R., Kharram, E., & Enayati, R. (2015). A ...
  • [7]      Hamadameen, O. A. (2018).  A novel technique for solving ...
  • [8]      Jayalakshmi, M., & Sujatha, V.(2018). A new algorithm to ...
  • [9]      Kaur, L., Rakshit, M., & Singh, S. (2018). A ...
  • [10]  Kiruthiga, M., & Loganathan, C. (2015). Fuzzy multi-objective linear ...
  • [11]  Kumar, R., Edalatpanah, S. A., Jha, S., & Singh, ...
  • [12]  Leberling, H. (1981). On finding compromise solutions in multicriteria ...
  • [13]  Mahmoudi, F., & Nassrei, S. H. (1981). A new ...
  • [14]  Maity, G., & Roy, S. K. (2016). Solving multi-objective ...
  • [15]  Najafi, H. S., Edalatpanah, S. A., & Dutta, H. ...
  • [16]  Nomani, M. A., Ali, I., & Ahmed, A. (2017). ...
  • [17]  Oheigeartaigh, M. (1982). A fuzzy transportation algorithm.  Fuzzy sets ...
  • [18]  Pandian, P., & Anuradha, D. (2011). A new method ...
  • [19]  Rommelfanger, H., Hanuscheck, R., & Wolf, J. (1989). Linear ...
  • [20]  Sakawa, M., & Yano, H. (1985). Interactive decision making ...
  • [21]  Tanaka, H., & Asai, K. (1984). Fuzzy linear programming ...
  • [22]  Thamaraiselvi, A., & Santhi, R. (2015). Optimal solution of ...
  • [23]  Yu, V. F., Hu, K. J., & Chang, A. ...
  • [24]  Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353. ...
  • [25]  Zimmermann, H. J. (1978). Fuzzy programming and linear programming ...
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