With the weighting function matrix as design parameters, the design of a control system can be expressed as a multi-objective optimization problem with inequation constraints.
若将加权阵当作设计参数，则控制系统的设计可以表示为一个满足一组不等式约束的多目标优化问题。
By defining the membership function of the realization extent of each objective, the multi-objective optimization problem has been turned into a fuzzy programming problem to be solved.
通过对各目标实现程度的隶属函数进行定义，将多目标优化问题转变成模糊规划问题进行求解。
For the reason that multi-objective optimization in traditional need to deal with the aim function by Linear-weighted, could only achieve optimize approximately.
针对传统的多目标优化算法必须通过线性加权的方式处理目标函数，只能达到近似的优化问题。
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