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Author Chan, K.Y. ♦ Dillon, T.S. ♦ Kwong, C.K.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Mathematical model ♦ Data models ♦ Mobile handsets ♦ Regression tree analysis ♦ Ergonomics ♦ Genetic programming
Abstract In affective product design, one of the main goals is to maximize customers' affective satisfaction by optimizing design variables of a new product. To achieve this, a model in relating customers' affective responses and design variables of a new product is required to be developed based on customers' survey data. However, previous research on modelling the relationship between affective response and design variables cannot address the development of explicit models either involving nonlinearity or fuzziness, which exist in customers' survey data. In this paper, an evolutionary fuzzy regression approach is proposed to generate explicit models to represent this nonlinear and fuzzy relationship between affective responses and design variables. In the approach, genetic programming is used to construct branches of a tree representing structures of a model where the nonlinearity of the model can be addressed. Fuzzy coefficients of the model, which is represented by the tree, are determined based on a fuzzy regression algorithm. As a result, the fuzzy nonlinear regression model can be obtained to relate affective responses and design variables.
Description Author affiliation: Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong (Kwong, C.K.) || Digital Escosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia (Chan, K.Y.; Dillon, T.S.)
ISBN 9781424469192
ISSN 10987584
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-07-18
Publisher Place Spain
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424469215
Size (in Bytes) 668.90 kB
Page Count 8
Starting Page 1
Ending Page 8

Source: IEEE Xplore Digital Library