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信息不完全下多属性群决策的证据合成方法

龚本刚 桂云苗 张廷龙

计算机工程与应用2011,Vol.47Issue(2):12-14,3.
计算机工程与应用2011,Vol.47Issue(2):12-14,3.DOI:10.3778/j.issn.1002-8331.2011.02.004

信息不完全下多属性群决策的证据合成方法

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

龚本刚 1桂云苗 1张廷龙2

作者信息

  • 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
  • 折叠

摘要

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 nde of combination. The main steps of evidential reasoning approach are also given. Finally an example is presented to demonstrate the implementation of this method.

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

Key words

incomplete information/decision matrix/relative reliability/evidence combination/multi-attribute group decision making

分类

管理科学

引用本文复制引用

龚本刚,桂云苗,张廷龙..信息不完全下多属性群决策的证据合成方法[J].计算机工程与应用,2011,47(2):12-14,3.

基金项目

国家自然科学基金(the National Natural Science Foundation of China under Grant No.70901001) (the National Natural Science Foundation of China under Grant No.70901001)

安徽省自然科学基金(the Natural Science Foundation of Anhui Province of China under Grant No.090416244) (the Natural Science Foundation of Anhui Province of China under Grant No.090416244)

安徽省高等学校省级自然科学研究项目(the Natural Science Foundation of Anhui Provincial Higher Education under Grant No.KJ2010A039) (the Natural Science Foundation of Anhui Provincial Higher Education under Grant No.KJ2010A039)

教育部人文社会科学研究基金资助项目(the Social Science&Research Foundation of Ministry of Education under Grant No.10YJA630042). (the Social Science&Research Foundation of Ministry of Education under Grant No.10YJA630042)

计算机工程与应用

OACSCDCSTPCD

1002-8331

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