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Fuzzy Relationship between Kansei Images: A Grey Decision-Making Method for Product Form

Authors :
Shijie Wang
Shutao Zhang
Jianning Su
Zhiqiang Yang
Shifeng Liu
Aimin Zhou
Wenjin Yang
Kai Qiu
Source :
Applied Sciences, Vol 14, Iss 13, p 5728 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Current design decision-making methods ignore the fuzzy relationship between Kansei images, and the use of constant weights reduces the accuracy of cognitive evaluation results. To solve these problems, this paper proposes a grey decision-making method for product form driven by the fuzzy relationship between Kansei images. First, according to the initial weight of the Kansei images, variable weight theory is used to determine the Kansei image variable weights of the samples, and the variable weight comprehensive evaluation results for each sample are obtained. Then, based on the correlation and angle of the Kansei images, a cobweb diagram is drawn to represent the fuzzy relationship between the Kansei images of each sample. Combined with the cobweb grey target decision-making model (CGTDM) for multiple Kansei images, decision coefficients are calculated. The decision coefficients are compared and ranked to determine the relatively optimal design reference sample. Finally, the constructed model is compared with the CGTDM for multiple Kansei images and TOPSIS. The results show that the difference coefficient of the proposed method is the largest, and it can reflect the decision-making thinking of the designers and improve the discrimination among the decision-making results to a certain extent.

Details

Language :
English
ISSN :
14135728 and 20763417
Volume :
14
Issue :
13
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.48a9cc01c69245c487f43adae09b9119
Document Type :
article
Full Text :
https://doi.org/10.3390/app14135728