摘要
针对目前指标组合赋权方法中存在的赋权过于"僵硬"的通病,基于Jaynes E T提出的最大信息熵原理,构建了一种新的指标赋权模型.在模型中,以客观因素为目标规划主体,将主观因素转化为目标规划的约束条件,实现了主客观条件的融合.实例分析表明方法准确、有效,具有较高的应用价值.
Aiming at a existing over-generalization of too much "stiff' in the combination weight method of index,A new kind of index weighting model is constructed based on the maximum entropy which proposed by E T Jaynes.In this model,as objective factors for the goal programming subject,translate subjective factors into the constraints of the goal programming,which received a good combination of subjective and objective conditions.The analysis of the instance demonstrates that the method with accuracy and efficiency,so its application has higher values.
出处
《数学的实践与认识》
CSCD
北大核心
2014年第4期16-22,共7页
Mathematics in Practice and Theory
基金
辽宁省教育厅科学研究项目(LS2012440)
创新团队项目(2009T004)
关键词
组合权重
极大熵
目标规划
效能评估
combination weight
maximum entropy
objective programming
effectiveness evaluation