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借鉴DEA交叉评价思想,构建不完全信息下的灰色关联决策模型.决策者对决策对象无“偏好”时,假设各决策对象均具有使“自身评价值最大化,竞争对手评价值最小化”的“自利性”特点;决策者对决策对象有“偏好”时,假设各决策对象均具有使“自身客观偏好与决策者的主观偏好的接近程度最小化”的一致目标.各决策对象按照最有利于自身的权重对所有决策对象进行交叉评价,集结后的交叉评价结果作为决策基准.新模型能公平体现各决策对象的“发言权”和竞争优势,决策结果易于被决策对象和决策者同时接受.
Draws on the DEA cross-evaluation theory and builds the gray relational decision-making model under incomplete information.When the decision-maker has no “preference ” for the decision object, it is assumed that each decision object has the value of “self-evaluation value maximization and the competitor evaluation value minimum When the decision maker has ”preference “ for the decision object, it is assumed that each decision object has the objective of minimizing the proximity of ”own objective preference to the subjective preference of the decision maker The goal of each decision-making is to cross-evaluate all the decision-making objects according to the weight that is most conducive to their own, and the result of the cross-evaluation after the assembly is used as the decision-making benchmark.The new model can fairly reflect the Advantages, decision-making results easily be accepted by decision-makers and policy makers.