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:: Volume 14, Issue 1 (6-2023) ::
IJOR 2023, 14(1): 104-117 Back to browse issues page
Fully fuzzy solid transportation problems with k-scale trapezoidal fuzzy numbers
Babak Khabiri , Majid Iranmanesh
Abstract:   (653 Views)
       A transportation problem involving three constraints: source, destination, and conveyance, where all parameters of the problem are fuzzy is called Fully Fuzzy Solid Transportation Problem (FFSTP). In this paper, a new method is proposed to find an optimal solution of an unbalanced FFSTP which the fuzzy numbers are considered to be k-scale trapezoidal fuzzy numbers. The k-scale trapezoidal fuzzy numbers are a generalization of symmetric trapezoidal fuzzy numbers which are considered recently in the literature. In this method, using a new ranking method, we transform the unbalanced FFSTP into a crisp linear programming formulation and find a fuzzy optimal solution for it. The considered model is not necessary balanced and introduced method will solve that without convert it to a balanced model. The advantages of the proposed method are also discussed.
 
Keywords: Fuzzy solid transportation problem, k-scale trapezoidal fuzzy numbers, ranking methods, trapezoidal fuzzy numbers.
Full-Text [PDF 249 kb]   (1722 Downloads)    
Type of Study: Original | Subject: Other
Received: 2023/02/13 | Accepted: 2023/08/21 | Published: 2023/08/28
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 14, Issue 1 (6-2023) Back to browse issues page
مجله انجمن ایرانی تحقیق در عملیات Iranian Journal of Operations Research
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