基于物元分析的产业链协同联盟盟员评价与优选模型  

Evaluation and selective preference model of industrial chain collaboration alliance members based on matter-analysis

作　　者：陈静[1] 孙林夫[1] 

机构地区：[1]西南交通大学CAD工程中心,四川成都610031

出　　处：《计算机集成制造系统》2009年第9期1743-1748,共6页Computer Integrated Manufacturing Systems

基　　金：国家863/CI MS主题资助项目(2007AA04Z188);四川省科技计划资助项目(2008GZ0007)~~

摘　　要：利用物元分析理论研究了产业链协同联盟盟员评价与优选问题,并对该问题进行了形式化描述。建立了基于物元分析的产业链协同联盟盟员优选与评价模型。该模型将评价指标的不可共度性及矛盾性转换为相容问题,利用关联函数和贴近度函数进行综合评价。基于可拓理论,将产业链协同联盟盟员评价结果分为正域、负域及可拓域。提出了基于物元分析的二阶段产业链协同联盟盟员企业优选与评价算法。最后,以汽车经销商为例,证明了该方法的有效性。The evaluation and selective preference problem of Industrial Chain Collaboration Alliance （ICCA） menbers was studied by using method of matter-element. This problem was also described formally. The evaluation and selective preference model of ICCA members was constructed, which converted the contradictions into the compatibility problems. Comprehensive evaluation was conducted by using correlation function and closeness degree function. Based on extension theory, the evaluation result of ICCA members was divided into three categories： positive domain, negative domain and extension domain. Finally, the two-stage evaluation and selective preference algorithm for ICCA members based on matter-analysis was proposed. And an application example of automatic dealer evaluation and selection was studied, the experiment result verified its effectiveness.

关 键 词：物元分析 关联函数 贴近度 产业链协同联盟 评价 优选 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]