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中国管理科学

中国管理科学 ›› 2010, Vol. 18 ›› Issue (5): 165-170.

• 论文 • 上一篇    下一篇

群决策中基于二元语义的主客观权重集成方法

丁勇1,2, 梁昌勇1,2, 朱俊红1, 陆文星1   

  1. 1. 合肥工业大学管理学院, 安徽 合肥 230009;
    2. 过程优化与智能决策教育部重点实验室
  • 收稿日期:2009-11-23 修回日期:2010-05-25 出版日期:2010-10-30 发布日期:2010-10-30
  • 作者简介:丁勇(1969- ),男(汉族),安徽舒城县人,合肥工业大学管理学院副教授,研究方向:决策科学与技术、信息资源管理、工程与项目管理.
  • 基金资助:

    国家自然科学基金重点资助项目(70631003),国家自然科学基金资助项目(70771037,70871034);国家“863”项目(2006AA04A126);教育部人文社科研究基金项目(09YJC630055);安徽省教育厅重点项目(KJ2009A014)

A Subjective and Objective Weights Integrated Method Based on 2-Tuple Linguistic for Group Decision Making

DING Yong1,2, LIANG Chang-yong1,2, ZHU Jun-hong1, LU Wen-xing1   

  1. 1. School of Management, Hefei University of Technology, Hefei 230009, China;
    2. Key Laboratory of Process Optimization and Intelligent Decision-making, Ministry of Education
  • Received:2009-11-23 Revised:2010-05-25 Online:2010-10-30 Published:2010-10-30

PDF (PC)

1365

被引次数

46

摘要： 针对一类属性值和属性权重信息均以语言评价信息形式给出的多属性群决策问题,提出了一种基于二元语义信息处理的主客观属性权重集成方法.首先运用二元语义集成算子计算属性的主观权重,然后给出一种基于最小偏差的属性客观权重计算方法,该方法根据决策者给出的语言决策矩阵计算决策群体对属性判断的偏差,偏差越大,表明决策者对该属性评价意见的分歧越大,则应赋给该属性越小的权重值,以提高群体意见的一致性.在此基础上,对属性的主、客观权重信息进行集成,得到属性综合权重.最后通过算例说明了该方法的有效性和实用性.

关键词: 多属性群决策, 二元语义, 主观权重, 客观权重

Abstract: A subjective and objective attribute weights integrated approach,based on 2-tuple linguistic information processing,for multi-attribute group decision making problem with linguistic attribute value and attribute weights value,is proposed.Firstly,subjective attribute weights are calculated by using the weighted averaging operator for linguistic 2-tuples.Secondly,an objective weights determining method based on the minimizing deviation is proposed.The deviation of attribute judgment of decision making group's calculated according to linguistic decision matrix.This deviation is larger,and it shows the disagreement of decision maker opinion is larger.Therefore,the at tribute weights value would be littler in order to enhance the consistency of group judgment.Then,subjective weight and objective weightare integrated into comprehensive weight.Finally,an example is given to illustrate that this method is effective and practicable.

Key words: multi-attribute group decision making, 2-tuple linguistic, subjective weight, objective weight

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