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A Modified Dynamic Evolving Neural-Fuzzy Approach to Modeling Customer Satisfaction for Affective Design
Joint Authors
Fung, K. Y.
Jiang, Huimin
Chan, K. Y.
Siu, Kin Wai Michael
Kwong, C. K.
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Affective design is an important aspect of product development to achieve a competitive edge in the marketplace.
A neural-fuzzy network approach has been attempted recently to model customer satisfaction for affective design and it has been proved to be an effective one to deal with the fuzziness and non-linearity of the modeling as well as generate explicit customer satisfaction models.
However, such an approach to modeling customer satisfaction has two limitations.
First, it is not suitable for the modeling problems which involve a large number of inputs.
Second, it cannot adapt to new data sets, given that its structure is fixed once it has been developed.
In this paper, a modified dynamic evolving neural-fuzzy approach is proposed to address the above mentioned limitations.
A case study on the affective design of mobile phones was conducted to illustrate the effectiveness of the proposed methodology.
Validation tests were conducted and the test results indicated that: (1) the conventional Adaptive Neuro-Fuzzy Inference System (ANFIS) failed to run due to a large number of inputs; (2) the proposed dynamic neural-fuzzy model outperforms the subtractive clustering-based ANFIS model and fuzzy c-means clustering-based ANFIS model in terms of their modeling accuracy and computational effort.
American Psychological Association (APA)
Kwong, C. K.& Fung, K. Y.& Jiang, Huimin& Chan, K. Y.& Siu, Kin Wai Michael. 2013. A Modified Dynamic Evolving Neural-Fuzzy Approach to Modeling Customer Satisfaction for Affective Design. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1033154
Modern Language Association (MLA)
Kwong, C. K.…[et al.]. A Modified Dynamic Evolving Neural-Fuzzy Approach to Modeling Customer Satisfaction for Affective Design. The Scientific World Journal No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1033154
American Medical Association (AMA)
Kwong, C. K.& Fung, K. Y.& Jiang, Huimin& Chan, K. Y.& Siu, Kin Wai Michael. A Modified Dynamic Evolving Neural-Fuzzy Approach to Modeling Customer Satisfaction for Affective Design. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1033154
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033154