2019
DOI: 10.14733/cadaps.2019.789-802
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Prediction of Motorcycle Seat Styling Based on Grey Modelling (1,1)

Abstract: The process of motorcycle seat styling is a grey system with partially known and partially unknown information and is influenced by various factors. In this study, Grey Modelling (GM)(1,1) is used to predict the style of a motorcycle seat, and the shape features of the seat are extracted via morphological analysis and are parameterized. The process of shape evolution is established, and the modelling characteristics are predicted by GM(1,1). The kansei study is performed using five adjectives describing the se… Show more

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Cited by 2 publications
(3 citation statements)
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“…Taking a certain brand of motorcycle seat as a model, he analyzed and verified the feasibility and scientific applicability of using GM(1,1) to predict the shape of motorcycle seats, providing a feasible and effective reference for motorcycle seat design. 4 To solve the two problems of design parameter combination explosion and complex mapping between design parameters and image goals in automotive exterior design, Li et al combined design parameters and designed parameters with image goals based on the basic idea of product gene network. He established the gene network model of automobile exterior.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Taking a certain brand of motorcycle seat as a model, he analyzed and verified the feasibility and scientific applicability of using GM(1,1) to predict the shape of motorcycle seats, providing a feasible and effective reference for motorcycle seat design. 4 To solve the two problems of design parameter combination explosion and complex mapping between design parameters and image goals in automotive exterior design, Li et al combined design parameters and designed parameters with image goals based on the basic idea of product gene network. He established the gene network model of automobile exterior.…”
Section: Related Workmentioning
confidence: 99%
“…He established the shape evolution process, predicted the modeling features by GM(1,1), and used five adjectives describing seat style to establish the equation of perceptual regression analysis, where regression analysis was used to modify the predictive modeling. Taking a certain brand of motorcycle seat as a model, he analyzed and verified the feasibility and scientific applicability of using GM(1,1) to predict the shape of motorcycle seats, providing a feasible and effective reference for motorcycle seat design 4 . To solve the two problems of design parameter combination explosion and complex mapping between design parameters and image goals in automotive exterior design, Li et al.…”
Section: Related Workmentioning
confidence: 99%
“…Based on Bayesian networks, Li proposed a dynamic analysis model of product design evolution to study the dynamic relationship between consumer demand and product design [18]. Feng parameterized the shape of motorcycle seat, evaluated it with the method of Kansei Engineering, established the equation of Kansei regression analysis, and finally forecasted the shape of motorcycle with grey model [19]. In order to consider the diversity of customer perception in product development, Masakazu proposed a method of customer grouping and product design based on rough set theory [20].…”
mentioning
confidence: 99%