节点文献
基于高低可能性分布求解多属性决策问题的新方法
A New Method Based on Upper and Lower Possibility Distributions for Multiple Attribute Decision Making
【Author】 LIU Tian-liang, DAI Geng-xin(Management Science and Engineering Department of Qingdao University, Qingdao 266071)
【机构】 青岛大学管理科学与工程系；
【摘要】 文章提供了一种基于高低可能性分布求解多属性决策问题的新方法.该方法利用高低可能性指数分布对决策指标数据进行了拟合,然后通过定义的偏差测度对多指标间的偏差量化处理,并确定各指标的相应权重,最后通过动态调整预期方案,进行多属性综合评价.
【Abstract】 This paper proposes a new method based on upper and lower possibility distributions for multiple indices decision. Firstly upper and lower exponential possibility distributions are used to approximate the given data to characterize decision indices. Then the deflection measure is designed to quantify the deflection among multiple decision-indices and to calculate the weights of them. Finally this paper comprehensively evaluates resolutions through dynamically adjusting expected resolution.
【Key words】 upper and lower possibility distributions； multiple attribute decision； deflection measure； expected resolution；
- 【会议录名称】 Well-off Society Strategies and Systems Engineering--Proceedings of the 13th Annual Conference of System Engineering Society of China
- 【会议名称】The 13th Annual Conference of System Engineering Society of China
- 【会议时间】2004
- 【分类号】C934
- 【主办单位】中国系统工程学会