摘要： 针对组合赋权中主客观权重不能有效融合的问题,提出基于相邻目标优属度和极大熵准则的指标权重确定方法。利用相邻目标优属度确定主观权重得到指标的重要性排序,通过极大熵准则赋权法得到含有变量的客观权重,并运用向量相似性原理找到与指标主观权重最接近的客观权重作为最终权重。结合指挥员决策效能评估指标权重确定的案例,通过不同方法对比分析验证了该方法的合理性和有效性。

关键词: 相邻目标优属度, 极大熵准则, 指标赋权, 向量相似性, 多目标规划

Abstract: Aiming at the problem that the subjective and objective weights can not be effectively fused in combination weighting,a method of determining the weight of indexes based on the priority degree of adjacent target and the maximum entropy criterion is proposed.The subjective weights of adjacent objects are used to determine the order of importance of the index,the objective weight of the subjective weights is obtained by using the maximum entropy criterion weighting method,and the objective weight,which is closest to the subjective weight of the index,is found by using the vector similarity principle as the final weights.Combining with the case of determining the index weight of commander’s decision-making effectiveness evaluation,the method is proved to be reasonable and effective through comparative analysis of different methods.

Key words: adjacent target priority degree, maximum entropy criterion, index weighting, vector similarity, multi objective programming

中图分类号: 

• TP391