计算机集成制造系统 ›› 2019, Vol. 25 ›› Issue (第11): 2874-2891.DOI: 10.13196/j.cims.2019.11.017

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面向协作企业群的三阶段主客观公平权重动态评价

任春华,孙林夫+   

  1. 西南交通大学信息科学与技术学院
  • 出版日期:2019-11-30 发布日期:2019-11-30
  • 基金资助:
    国家重点研发计划资助项目(2017YFB1400303)。

Dynamic evaluation of three-stage subjective and objective fair weights for collaborative enterprise groups

  • Online:2019-11-30 Published:2019-11-30
  • Supported by:
    Project supported by the National Key Research and Development Program,China(No.2017YFB1400303).

摘要: 为构建汽车产业链协作企业群评价模型,根据核心制造厂的评价需求,设计了一套可定制的协作企业群评价指标体系,包括通用评价指标和专用评价指标。为避免单一主客观权重或组合权重带来的不稳定性,采用Delphi法、层次分析法、熵权法和指标相关性权重法分别计算主客观权重,为使指标的权重公平合理,建立了三阶段主客观公平权重优化模型,并提出三阶段主客观公平权重评价算法。针对协作企业长期不变的评价级别,提出改进的贝叶斯增量更新分类评价算法,实现了不同时间段协作企业的动态评价。通过实例和对比分析验证了评价模型的有效性和合理性。

关键词: 汽车产业链, 协作企业群, 定制评价指标, 三阶段主客观公平权重, 贝叶斯增量更新

Abstract: To build the evaluation model for automotive industry chain of collaborative enterprise groups,a set of customizable collaborative enterprise groups evaluation index system was designed according to the evaluation needs of core manufacturers,which included general evaluation index and special evaluation index.To avoid the instability caused by single subjective and objective weights or combination weights,the subjective and objective methods were calculated by Delphi,Analytic Hierarchy Process (AHP),Entropy Weight Method (EWM) and Criteria Importance Though Intercrieria Correlation (CRITIC).A three-stage subjective and objective fair weight optimization model was established to make the weight of index fair and reasonable,and a three-stage subjective and objective fair weight evaluation algorithm was proposed.Aiming at the long-term unchanging evaluation level of collaborative enterprises,an improved Bayesian incremental update classification evaluation algorithm is proposed to realize the dynamic evaluation of collaborative enterprises in different timeperiods.The effectiveness and rationality of evaluation model were verified by examples and comparative analysis.

Key words: automobile industry chain, collaborative enterprise groups, customized evaluation index, three-stage subjective and objective fair weight, Bayesian incremental update

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