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既有文献中关于求解模糊交通问题(所有参数均为模糊数据)的模糊最优解的方法有多种。本文在分析现有方法缺点的基础上,提出了两种方法用于求解具有梯形模糊数的模糊交通问题,其基于模糊线性规划和经典交通方法。同时论证了这两种方法不同于现有方法的优势。通过算例阐述本文方法求解模糊交通问题的过程并分析了求解结果。所提出的方法易于理解且在求解模糊交通问题最优解问题上具有良好的应用前景。
There are many ways to solve the fuzzy optimal solution of fuzzy traffic problems (all parameters are fuzzy data) in the existing literature. Based on the analysis of the shortcomings of the existing methods, this paper proposes two methods to solve the fuzzy traffic problem with trapezoidal fuzzy numbers based on fuzzy linear programming and classical traffic methods. At the same time demonstrate the advantages of these two methods is different from the existing methods. An example is given to illustrate the process of solving the fuzzy traffic problem by the method in this paper and the result of the solution is analyzed. The proposed method is easy to understand and has a good application prospect in solving the optimal solution of fuzzy traffic problems.