计算机集成制造系统 ›› 2015, Vol. 21 ›› Issue (第10期): 2577-2586.DOI: 10.13196/j.cims.2015.10.004

• 产品创新开发技术 • 上一篇    下一篇

基于模糊软集和证据理论的产品族状态评价

王浩伦1,侯亮2,程贤福1,甘卫华1   

  1. 1.华东交通大学机电工程学院
    2.厦门大学机电工程系
  • 出版日期:2015-10-31 发布日期:2015-10-31
  • 基金资助:
    国家自然科学基金资助项目(71172055,71462007);江西省教育厅科技资助项目(GJJ13313)。

State evaluation of product family based on fuzzy soft sets and D-S theory

  • Online:2015-10-31 Published:2015-10-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.71172055,71462007),and the Scientific Foundation of Jiangxi Provincial Educational Department,China(No.GJJ13313).

摘要: 为解决动态环境下产品族复杂系统运行状态不确定性问题,提出了基于模糊软集和证据理论的产品族状态评价方法。从企业的工程设计、市场需求—经济、生产能力和运营管理四个方面进行分析,构建了产品族状态评价指标体系;在评价过程中,考虑各专家偏好应用模糊软集方法获得产品族状态评价四方面指标的权重值,利用证据理论对四个方面的指标数据进行证据合成推理;在此基础上,计算不同时期阶段的产品族状态指数并以不同时期阶段的指数差异来评估产品族运行状态。以小型轮装产品族为例验证了该方法的有效性。

关键词: 产品族, 模糊软集, 证据合成, 状态, 评价

Abstract: To solve the uncertainty on running state of complex product family system under dynamic environments,an evaluation method of product family state was proposed based on Fuzzy Soft Sets (FSS) and D-S theory.The evaluation index system of product family running state was established from four aspects of engineering design,market demand-economy,production capacity and operations management.In the process of evaluation,the weights of four indexes were obtained with FSS by considering experts'preference,and the evidence from four aspects were combined and calculated according to D-S theory.On this basis,Product Family State Index (PFSI) in different periods was obtained and the difference value of PFSI from two periods was used to evaluate the running state of product family.The effectiveness of proposed method was verified with case study of small size wheel loader family.

Key words: product family, fuzzy soft sets, evidence combination, state, evaluation

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