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图学学报

图学学报 ›› 2022, Vol. 43 ›› Issue (3): 548-557.DOI: 10.11996/JG.j.2095-302X.2022030548

• 工业设计 • 上一篇    下一篇

产品形态多意象蛛网灰靶决策模型

  

  1. 兰州理工大学设计艺术学院，甘肃 兰州 730050
  • 出版日期:2022-06-30 发布日期:2022-06-28
  • 基金资助:
    国家自然科学基金项目(51705226)；甘肃省自然科学基金项目(20JR10RA168)；甘肃省教育厅：优秀研究生“创新之星”项目(2021CXZX-524)

Cobweb grey target decision-making model of multi-Kansei image in product form

  1. ZHANG Shu-tao, WANG Shi-jie, LIU Shi-feng, LI Wei-xing
  • Online:2022-06-30 Published:2022-06-28
  • Supported by:
    National Natural Science Foundation of China (51705226); Natural Science Foundation of Gansu Province (20JR10RA168);
    Gansu Provincial Department of Education: Outstanding Postgraduate “Innovation Star” Project (2021CXZX-524)

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摘要：

针对概念设计中多意象设计方案决策困难的现象，提出了一种产品形态多意象蛛网灰靶决策方法。首先，运用感性工学相关方法获取设计主体的认知数据，结合熵权法及博弈论思想构建基于设计主体认知数据的综合评价模型，并根据各意象的设计主体综合评价数据确定各意象的权重关系；其次，通过人工选择的方式从产品形态进化系统中选择多个进化方案，运用蛛网图表征各进化方案的意象关系，构建多意象蛛网灰靶决策模型，计算决策系数，对其进行比较排序，得到符合设计主体认知的相对最优方案；最后，应用灰色关联分析法验证该决策模型的可行性。结果表明，该模型能够帮助设计师在设计决策阶段快速、准确地确定符合多设计主体认知的多意象方案，为产品方案的多意象决策提供了新的理论和方法。

关键词: 感性工学, 多意象决策, 蛛网图, 灰靶决策模型, 设计主体, 产品形态

Abstract:

In view of the difficulty in decision-making for multi-Kansei image design scheme in concept design, a cobweb grey target decision-making method was proposed for multi-Kansei image in product form. Firstly, the cognitive data of the design subjects was obtained by Kansei engineering, and the comprehensive evaluation model based on the cognitive data of the design subjects was constructed using the entropy weight method and game theory. Meanwhile, the weight relationship of each Kansei image was determined based on the comprehensive evaluation data of the design subjects of each image. Secondly, multiple evolution schemes were artificially selected from the product form evolution system, and the spider chart was used to represent the Kansei image relationship of each evolution scheme. A cobweb grey target decision-making model of multi-Kansei image was constructed to calculate the decision-making coefficient, and the relative optimal scheme that conformed to the cognition of the design subjects was obtained by comparing and sorting them. Finally, the feasibility of the decision-making model was verified by applying the grey correlation analysis method. The model can help designers quickly and accurately determine the multi-Kansei image scheme in the design decision-making stage, which provides a new theory and method for the multi-Kansei image decision-making of product scheme.

Key words: Kansei engineering, multi-Kansei image decision-making, spider chart, grey target decision-making
model, design subject, product form

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