Grey Relational Analysis of Bicycle Saddle Modeling Based on Kansei Engineering

Abstract

As cycling becomes increasingly popular, user expectations for bicycle saddles have evolved beyond basic functionality to more comprehensive perceptual comfort and aesthetic experience. However, there remains a lack of methodology for systematically translating users' subjective impressions of bicycle saddle form into practical design optimisation directions. This study is based on Kansei engineering theory and grey relational analysis , through sample collection, cluster analysis and expert evaluation, representative bicycle saddle samples and core perceptual vocabulary are selected, and the bicycle saddle form is further decomposed into quantifiable modeling elements. Subsequently, factor analysis is used to establish the relationship between modeling elements and core perceptual vocabulary, followed by grey relational analysis to determine the priority ranking of each modeling element under different perceptual vocabulary. The research findings provide a systematic, quantifiable basis for optimization design of bicycle saddle under different perceptual goals. This not only enhances the efficiency of bicycle saddle design but also ensures design outcomes better match users' diverse perceptual requirements.

Keywords: Kansei Engineering, Grey Relational Analysis, Bicycle Saddle Design, Modeling Element

DOI: 10.54941/ahfe1007429