摘要
针对决策支持系统中专家不确定性意见难以融合的问题。提出了一种基于证据理论和模糊距离相结合的决策融合方法。运用模糊距离方法来获得专家的权重和属性指标的相对权重,对专家决策中由于主观认识的局限性带来的不确定性问题进行了研究。运用DS证据理论识别框架计算出概率分配函数,对所有方案进行排序选择,得出最终的决策融合意见。通过实验表明,运用此方法对不确定性信息的融合具有很好的可行性和有效性。
For the problem of expert uncertainty view is hard to fuse in decision support system,this paper proposes a compromise based on evidence theory and fuzzy distance ideas to decision fusion.Apply fuzzy distance method to obtain the expert weight and property index relative weight.The uncertain problem of the subjective views of expert decision-making is studied.And then use DS evidence theory recognition framework to calculate the probability distribution function,sort and select all programs,to obtain the final decision fusion view.Examples show that the method is reasonable and efficient for integration of decision-making uncertain information.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第30期148-151,共4页
Computer Engineering and Applications
基金
国家重点基础研究发展规划(973)No.2009CB326203
国家自然科学基金(No.60603068)
中国科学院决策支持系统中推理机子系统研制与开发项目~~
关键词
不确定性信息
专家权重
指标权重
证据理论
模糊距离
uncertain information
expert weight
criterion weight
evidence theory
fuzzy distance
