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结构设计的初始阶段含有大量的模糊信息，设计概念的产生、设计参数的取值、设计目标的评价、约束条件的允许范围以及工况等实际上都含有不同程度的模糊性提出了处理多目标模糊优化中目标与约束权重的向量水平截集法和权重最大最小法，拓展了向量水平截集法与最大最小法的应用范围研究了目标函数与约束函数的隶属函数的选取对优化结果的影响规律，在权重最大最小法中使用非线性隶属函数，更能有效地处理多目标优化中分目标的重要程度，以三杆辆架的最轻重量和最小变形的结构模糊优化问题为例证明了该方法的有效性。
The initial stage of the structure design contains a lot of fuzzy information. The design concept, the value of the design parameters, the evaluation of the design objective, the allowable scope of the constraints and the working conditions all contain different degrees of ambiguity. The vector horizontal cut-off method and the maximum-weight-minimum method for target and constraint weights in fuzzy optimization expand the application scope of vector-level cut-off method and maximum-minimum method. The influence of the membership function of the objective function and the constraint function on the optimization result is studied Law, the non-linear membership function is used in the method of maximum and minimum weights to deal with the importance of sub-targets in multi-objective optimization more effectively, and the structural fuzzy optimization problem of the lightest weight and minimum deformation of three-pole frame is taken as an example The effectiveness of this method.