Consumers’ Kansei Needs Clustering Method for Product Emotional Design Based on Numerical Design Structure Matrix and Genetic Algorithms
Joint Authors
Yang, Yan-pu
Chen, Deng-kai
Gu, Rong
Gu, Yu-feng
Yu, Suihuai
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Consumers’ Kansei needs reflect their perception about a product and always consist of a large number of adjectives.
Reducing the dimension complexity of these needs to extract primary words not only enables the target product to be explicitly positioned, but also provides a convenient design basis for designers engaging in design work.
Accordingly, this study employs a numerical design structure matrix (NDSM) by parameterizing a conventional DSM and integrating genetic algorithms to find optimum Kansei clusters.
A four-point scale method is applied to assign link weights of every two Kansei adjectives as values of cells when constructing an NDSM.
Genetic algorithms are used to cluster the Kansei NDSM and find optimum clusters.
Furthermore, the process of the proposed method is presented.
The details of the proposed approach are illustrated using an example of electronic scooter for Kansei needs clustering.
The case study reveals that the proposed method is promising for clustering Kansei needs adjectives in product emotional design.
American Psychological Association (APA)
Yang, Yan-pu& Chen, Deng-kai& Gu, Rong& Gu, Yu-feng& Yu, Suihuai. 2016. Consumers’ Kansei Needs Clustering Method for Product Emotional Design Based on Numerical Design Structure Matrix and Genetic Algorithms. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099693
Modern Language Association (MLA)
Yang, Yan-pu…[et al.]. Consumers’ Kansei Needs Clustering Method for Product Emotional Design Based on Numerical Design Structure Matrix and Genetic Algorithms. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1099693
American Medical Association (AMA)
Yang, Yan-pu& Chen, Deng-kai& Gu, Rong& Gu, Yu-feng& Yu, Suihuai. Consumers’ Kansei Needs Clustering Method for Product Emotional Design Based on Numerical Design Structure Matrix and Genetic Algorithms. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099693
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099693