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图学学报 ›› 2021, Vol. 42 ›› Issue (6): 1018-1026.DOI: 10.11996/JG.j.2095-302X.2021061018

• 工业设计 • 上一篇    下一篇

产品造型设计多阶段网络耦合决策方法研究 

  

  1. 长安大学工程机械学院,陕西 西安 710064
  • 出版日期:2022-01-18 发布日期:2022-01-18
  • 基金资助:
    国家自然科学基金项目(51805043);中央高校基金项目(300102259202);中国博士后基金项目(2019M663604);陕西省创新能力支撑计 划项目(2020PT-014) 

Research on multi-stage network coupling decision-making method of product styling design

  1. School of Construction Machinery, Chang’an University, Xi’an Shaanxi, 710064, China
  • Online:2022-01-18 Published:2022-01-18
  • Supported by:
    National Natural Science Foundation of China (51805043); Fundamental Research Funds for the Central Universities (300102259202); China Postdoctoral Science Foundation (2019M663604); Innovation Capability Support Project of Shaanxi Province of China (2020PT-014) 

摘要:

关键词: 产品造型设计, 设计决策, 复杂网络, 网络凝聚度, 多阶段耦合

Abstract: To comprehensively consider multi-stage decision-making information of product styling design, the complex network theory was introduced and a multi-stage network coupling decision-making process of product styling design was proposed. The relationship of multi-stage decision-making information of product styling design was modeled with coupled association. Based on the consistency analysis of decision-makers’ scores, the adjacency matrix of design decision-making network was identified. The decision-makers’ weights were obtained by calculating changes in network cohesion. Through analyzing the stability of decision-making network cohesion and the consistency of decision-makers’ opinions, the number of decision-making rounds was determined. To compute the weights of each stage in the decision-making process of product styling design, a programming function was constructed, and the aggregation of multi-stage decision-making information was realized through linear coupling. Taking the decision-making of numerical control grinder styling design as an example, the effectiveness of the method was verified. Results show that the proposed method can help realize the aggregation of multi-stage decision-making information of product styling design and improve the quality of design decision-making in an overall and scientific way. 

Key words: product styling design, design decision-making, complex network, network cohesion, multi-stage coupling

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