A Neuro-Fuzzy approach to generating customer satisfaction model for new product development

Chun Kit Kwong; T. C. Wong

doi:10.1109/IEEM.2008.4738183

A Neuro-Fuzzy approach to generating customer satisfaction model for new product development

Chun Kit Kwong, T. C. Wong

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

8 Citations (Scopus)

Abstract

Understanding customer perception towards consumer products is of extremely important to design teams for designing new products. It is because success of new products is heavily dependent on the associated customer satisfaction level. If the consumers are satisfied with a new product, the chance of the product to be successful in a marketplace would be higher. In this study, we applied Adaptive Neuro-Fuzzy Inference System (ANFIS) to generate customer satisfaction models based on market survey data. A modified ANFIS (M-ANFIS) is proposed by which explicit customer satisfaction models can be generated. The models can efficiently deal with continuous input values instead of crispy numbers. To justify M-ANFIS, it was compared with a well-known statistical method, Multiple Linear Regression (MLR). Experimental results indicated that the M-ANFIS outperformed MLR in terms of mean absolute errors and variance of errors.

Original language	English
Title of host publication	2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
Pages	1804-1808
Number of pages	5
DOIs	https://doi.org/10.1109/IEEM.2008.4738183
Publication status	Published - 1 Dec 2008
Event	2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 - Singapore, Singapore Duration: 8 Dec 2008 → 11 Dec 2008

Conference

Conference	2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
Country/Territory	Singapore
City	Singapore
Period	8/12/08 → 11/12/08

Keywords

ANFIS
Customer satisfaction model
Explicit model

ASJC Scopus subject areas

Management Information Systems
Industrial and Manufacturing Engineering

More information

10.1109/IEEM.2008.4738183

Cite this

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Kwong, CK & Wong, TC 2008, A Neuro-Fuzzy approach to generating customer satisfaction model for new product development. in 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008., 4738183, pp. 1804-1808, 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008, Singapore, Singapore, 8/12/08. https://doi.org/10.1109/IEEM.2008.4738183

A Neuro-Fuzzy approach to generating customer satisfaction model for new product development. / Kwong, Chun Kit; Wong, T. C.
2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008. 2008. p. 1804-1808 4738183.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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A Neuro-Fuzzy approach to generating customer satisfaction model for new product development

Abstract

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Keywords

ASJC Scopus subject areas

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