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

Research output: Contribution to journalArticleScientificpeer-review

12 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)261-274
Number of pages14
JournalInternational Journal of Innovative Computing, Information and Control
Volume15
Issue number1
DOIs
Publication statusPublished - 2019

Keywords

  • GRA-Fuzzy logic model
  • Kansei image
  • Product form design
  • Train seats

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