Study on the perception of car appearance based on fuzzy inference

Authors:
Fu Guo;Yu Sun;Chao Chen;Hai-ying Wang;Chong-yang Liu
Affiliations:
Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC;Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC;Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC;Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC;Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC
Venue:
IDGD'11 Proceedings of the 4th international conference on Internationalization, design and global development
Year:
2011

Citing 2
Cited 0

Kansei evaluation based on prioritized multi-attribute fuzzy target-oriented decision analysis

Information Sciences: an International Journal
A dominance-based rough set approach to Kansei Engineering in product development

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes fuzzy logic to forecast perception values of the combination of different design elements. Firstly it extracts customers' semantic information with semantic difference method; applies GRA analysis to find the key form elements for each perception, and builds the fuzzy membership between the form element and perception. Then it generates a set of fuzzy rules with the most influential form elements based on the 10 representative car samples and calculates the perception values on different combinations of the form design elements by defuzzification.