An approach of the product form design based on gra-fuzzy logic model: A case study of train seats

Lei Xue, Xiao Yi, Yang Cheng Lin, Jan Willem Drukker

研究成果: Article同行評審

7 引文 斯高帕斯(Scopus)

摘要

In the process of product form design, the quantitative design method of combining the user-oriented Kansei images and product form design elements should be developed more objectively and logically. In order to satisfy the user perception of the Kansei image, this paper presents a new approach of the product form design based on Gray Relational Analysis (GRA) fuzzy theory. Firstly, GRA-Fuzzy logic model is used to effectively identify the form elements that influence the Kansei images. Secondly, according to the membership function that the input and output linguistic variables are determined based on the fuzzy theory, the fuzzy rules that associate product form elements with Kansei images are constructed. Thirdly, GRA-Fuzzy logic model is built to analyze and evaluate the product form design. The train seat form design is used as a case study. The result shows that the model is effective in predicting the product Kansei images, and it improves and optimizes the product form design process. Furthermore, GRA-Fuzzy logic model can be used, in conjunction with computer aided design system or X Reality technology, to build a 3-D model for promoting the design process of products.

原文English
頁(從 - 到)261-274
頁數14
期刊International Journal of Innovative Computing, Information and Control
15
發行號1
DOIs
出版狀態Published - 2019 二月 1

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics

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