无信息多指标决策的层次—关联优化模型

The Hierarchy-RelationalMajorized Modelof Multiple Attribute Decision Making ThatWithoutInform ation

对于无信息而又难于确定指标权重的多指标决策问题，避开了以往所采用的悲观原则、乐观原则及折衷原则几种简单的方法，在定量型层次分析法的基础上，结合灰色关联度分析法，建立了层次—关联综合优化模型。既避免了主观确定指标权重的做法，又保证了决策结果与层次分析法及关联度分析法的一致性。

Based on quantitative type AHPthat com bine with grey relational grade analysis, we built up a hierarchy-relationalsyntheticm ajorized m odelform ultiple attribute decision problem thatw ithoutinform ation and it is difficult to determ ine the weight of indexes. We evade pessim istic principle、optimistic principle and eclectic principle these sim ple m ethods that we used before. We avoid the subjective m ethod thatdetermine the weight of indexes and pledge the decision result unified w ith AHPand relationalanalysis. Thus w e provide a reasonable and reliable decision m ethod for this kind ofdecision problems.