Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (2): 12-14.DOI: 10.3778/j.issn.1002-8331.2011.02.004

• 博士论坛 • Previous Articles     Next Articles

Evidence combination approach of multi-attribute group decision making with incomplete information

GONG Bengang1,GUI Yunmiao1,ZHANG Tinglong2   

  1. 1.Department of Management Engineering,Anhui Polytechnic University,Wuhu,Anhui 241000,China
    2.Department of Economics and Management,Anhui Normal University,Wuhu,Anhui 241000,China
  • Received:2010-09-17 Revised:2010-11-29 Online:2011-01-11 Published:2011-01-11
  • Contact: GONG Bengang



  1. 1.安徽工程大学 管理工程学院,安徽 芜湖 241000
    2.安徽师范大学 经济管理学院,安徽 芜湖 241000
  • 通讯作者: 龚本刚

Abstract: To solve the multi-attribute group decision making problem with incomplete information,a new evidence combination approach based on relative reliability is proposed through analyzing the effect of reliability of judgment information on group decision results.Firstly,the value of qualitative attributes and quantitative attributes may be normalized.Then,by analyzing the relative reliability of judgment information,the basic probability assignment values of all focal elements are computed and integrated by Dempster’s rule of combination.The main steps of evidential reasoning approach are also given.Finally an example is presented to demonstrate the implementation of this method.

Key words: incomplete information, decision matrix, relative reliability, evidence combination, multi-attribute group decision making

摘要: 针对不完全信息下多属性群决策问题,分析决策者判断信息的可靠性对群决策结果的影响,提出一种基于相对可靠度的证据合成方法。首先对定量和定性属性值进行归一化处理;然后分析决策者判断信息的相对可靠度,运用Dempster合成法则对所有焦元的基本概率分配值进行计算与合成,并给出证据推理方法的主要步骤;最后给出了一个算例。

关键词: 不完全信息, 决策矩阵, 相对可靠度, 证据合成, 多属性群决策

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