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Solving the Multiobjective Transportation Decision-Making Problem Based on Improved S-Type Membership Function

Author

Listed:
  • Xiang Ziquan
  • Yang Jiaqi
  • Muhammad Hamza Naseem
  • Xiang Zuquan
  • Niansheng Tang

Abstract

Aiming at the problem of multiobjective transportation decision-making, a fuzzy compromise method with an improved S-type membership function is proposed. This method not only considers a single objective and evaluates it marginally but also evaluates the overall objective as a whole. First of all, a multiobjective transportation decision-making model is established. Then, each objective function is mapped to a function on the interval [0,1] through the S-type membership function, thereby transforming the multiobjective transportation linear programming model into a multiobjective transportation fuzzy compromise programming model, and its satisfaction is expressed by the global utility function. Finally, through two examples, the results of the example algorithm are compared with the results in the literature, highlighting the superiority of the method. The experimental results show that in the multiobjective transportation decision-making problem, the fuzzy compromise method of the S-type membership function has better flexibility and effectiveness.

Suggested Citation

  • Xiang Ziquan & Yang Jiaqi & Muhammad Hamza Naseem & Xiang Zuquan & Niansheng Tang, 2021. "Solving the Multiobjective Transportation Decision-Making Problem Based on Improved S-Type Membership Function," Journal of Mathematics, Hindawi, vol. 2021, pages 1-10, September.
    • Handle: RePEc:hin:jjmath:4169352
    DOI: 10.1155/2021/4169352
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    Cited by:

    1. Ziquan Xiang & Jiaqi Yang & Muhammad Hamza Naseem & Wenjie Ge, 2022. "Research on Dynamic Cooperative Replenishment Optimization of Shipbuilding Enterprise Inventory Control under Uncertainty," Sustainability, MDPI, vol. 14(4), pages 1-15, February.

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