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基于偏差最小化模型的多属性决策集成方法
引用本文:闫书丽,肖新平.基于偏差最小化模型的多属性决策集成方法[J].系统工程,2005,23(10):73-76.
作者姓名:闫书丽  肖新平
作者单位:武汉理工大学,理学院,湖北,武汉,430063
基金项目:国家自然科学基金资助项目(70471019)
摘    要:分析一般线性加权法和关联系数分析法的优缺点,基于偏差最小化原理,建立了两种方法的集成模型,该模型充分利用专家赋予的属性权重值和评价矩阵信息值的相关性,求出更合理的属性权重值来进行决策,保证决策结果与一般线性加权法和关联系数分析法的一致性.实例表明了该方法的可行性和优越性.

关 键 词:多属性决策  集成模型  偏差最小化  一般线性加权法  关联系数分析法
文章编号:1001-4098(2005)10-0073-04
收稿时间:2005-06-17
修稿时间:2005-06-172005-08-06

Integrated Approach Based on Minimum Deviation Model for Multi-attribute Decision Making
YAN Shu-li,XIAO Xin-ping.Integrated Approach Based on Minimum Deviation Model for Multi-attribute Decision Making[J].Systems Engineering,2005,23(10):73-76.
Authors:YAN Shu-li  XIAO Xin-ping
Institution:College of Science, Wuhan University of Teehnology,Wuhan 430063,China
Abstract:This paper discusses the advantages and disadvantages of simple weight adding and relational analysis,establishes an integrated model that based on minimum deviation principle,the model makes full use of the information of weights given by decision makers and the information's relativity of the estimating matrix,works out more reasonable weights of(attributes) to make decision,pledges the decision result unified with simple weight adding and relational analysis.In the end,the method's feasibility and superiority is proved by the example.
Keywords:Multiple Attribute Decision Making  Integrated Model  Minimum Deviation ~ Simple Weight Adding  Relational Analysis
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