基于类别加权算子的环形灰靶决策

Annular grey target decision model based on category weighted operator

针对现有灰靶决策方法只有一个靶,不能科学解决评价信息疏密程度不一致的决策问题,通过有序增量法将决策者评价信息按信息的差异性分成不同的组别,并给出类别加权算子的定义.在此基础上,定义一个靶心多个靶环的环形灰靶,并将类别权重赋予相应的环形灰靶,建立基于类别加权算子的环形灰靶决策方法.该方法更接近现实灰靶,且通过对方案评价信息的环内和环间信息的二次集结,使得评价结果更为实用合理.最后以一个应急案例进行了验证.

An annular grey target decision method is proposed based on the category weighted operator in view of that the existing grey target decision method can＇t scientifically solve the decision problem of the evaluation information being weaved inconsistent. In the light of the information difference, the evaluate information of decision makers is divided into different categories by means of the orderly incremental method, and the weighted vector weights can be obtained by using the nonlinear programming model. Then a bull＇s-eye multiple target circular gray target is defined and the corresponding circular grey target is given to weight categories. The evaluation results are made more reasonable and practical through the secondary rally of program evaluation information between rings and ring. Finally, a case of emergency is given to verify the proposed method.