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应急决策中常常需要对于多个备选方案进行选择,topsis方法可以针对有限个对象进行评价,依据是各对象与最优解之间的距离,距离越近说明该方案越好。但是如果仅仅根据各备选方案的属性预估值进行推算,那么针对同一个备选方案集合,每次的决策结果一定相同。为了在决策中加入反馈效果,可以根据过去每次决策的实际执行结果来调整属性权重进而影响未来对于各方案的评价结果,其改进之处在于每次决策效果都将对后续决策产生影响,从而增加了优秀方案被选中的可能性。
Emergency decision-making often need to select multiple alternatives, topsis method can be evaluated for a limited number of objects, based on the distance between each object and the optimal solution, the closer the distance, indicating that the better the program. However, if we make projections based only on the estimated values of the attributes of each option, the result of each decision must be the same for the same set of alternatives. In order to add the feedback effect in the decision-making, the weight of the attribute can be adjusted according to the actual execution result of each decision in the past, which will affect the future evaluation result of each program. The improvement lies in that each decision-making effect will affect the subsequent decision-making Increases the likelihood that a good program will be selected.