Introduction
This chapter discusses the implementation of the enhanced fuzzy Analytic Hierarchy Process (AHP), which is the improved version of the fuzzy AHP discussed in Chapter 3 for the determination of importance of customer requirements. Similar to the latter, the enhanced fuzzy AHP converts the linguistic assessment of customer requirements to triangular fuzzy numbers, which are used to build the pairwise comparison matrix of AHP. Then the enhanced fuzzy AHP uses the extent analysis method and the principles of comparison of fuzzy numbers to derive weight vectors. This improves the hitherto imprecise ranking of importance weights of customer requirements inherited from the previous works which used the conventional AHP and the fuzzy AHP discussed in Chapter 3. The enhanced fuzzy AHP with extent analysis refers to the "extent" to which an object satisfies a goal and where "satisfied extent" is defined by means of triangular fuzzy numbers. The weight vectors of the fuzzy AHP can be calculated using extent analysis and the principles of comparison of fuzzy numbers. Compared to eigenvectors which are used to calculate weight vectors in the conventional AHP, the enhanced fuzzy AHP is simple and easy to implement for the purpose of prioritizing customer satisfaction of quality function deployment (QFD). A case study of a hair dryer design is used to illustrate the effectiveness of the enhanced fuzzy AHP.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Akao, Y.: Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press, Cambridge (1990)
Armacost, R.T., Componation, P.J., Mullens, M.A., Swart, W.W.: An AHP Framework for Prioritizing Custom Requirements in QFD: An Industrialized Housing Application. IIE Transactions 26(4), 72–79 (1994)
Aswad, A.: Quality Function Deployment: A Systems Approach. In: Proceedings of the 1989 IIE Integrated Systems Conference on Institute of Industrial Engineers, Atlanta, GA, pp. 27–32 (1989)
Chan, L.K., Kao, H.P., Ng, A., Wu, M.L.: Rating the Importance of Customer Needs in Quality Function Deployment by Fuzzy and Entropy Methods. Int. J. Prod. Res. 37(11), 2499–2518 (1999)
Chang, D.Y.: Application of the Extent Analysis Method on fuzzy AHP. European Journal of Operational Research 95, 649–655 (1996)
Che, A., Lin, Z.H., Chen, K.N.: Capturing Weight of Voice of the Customer Using Artificial Neural Network in Quality Function Deployment. Journal of Xi’an Jiaotong University 33(5), 75–78 (1999)
Fung, R.Y.K., Popplewell, K., Xie, J.: An Intelligent Hybrid System for Customer Requirement Analysis and Product Attribute Targets Determination. International Journal of Production Research 36, 13–34 (1998)
Golden, B.L., Harker, P.T., Wasil, E.E.: The Analytic Hierarchy Process: Applications and Studies. Springer, Berlin (1989)
Griffin, H., Hauser, J.R.: The Voice of the Customer. Marketing Science 12(1), 1–27 (1993)
Gustafsson, A., Gustafsson, N.: Exceeding Customer Expectations. In: The Sixth Symposium on Quality Function Deployment, Novi, Michigan (1994)
Kaufmann, A.: Introduction to Fuzzy Arithmetic Theory and Applications. Van Nostrand Reinhold, New York (1991)
Khoo, L.P., Ho, N.C.: Framework of a Fuzzy Quality Function Deployment System. International Journal of Production Research 34, 299–311 (1996)
Kwong, C.K., Bai, H.: Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach. IIE Transactions 35, 619–626 (2003)
Ho, E.S.S.A., Lai, Y.J., Chang, S.I.: An Integrated Group Decision-Making Approach to Quality Function Deployment. IIE Transactions 31, 553–567 (1999)
Lu, M.H., Madu, C.N., Kuei, C., Winokur, D.: Integrating QFD, AHP and Benchmarking in Strategic Marketing. Journal of Business & Industrial Marketing 9(1), 41–50 (1994)
Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)
Vanegas, L.V., Labib, A.W.: A Fuzzy Quality Function Deployment (FQFD) model for driving optimum targets. International Journal of Production Research 39(1), 99–120 (2001)
Wright, I.C.: Design Methods in Engineering and Product Design. McGraw-Hill Publishing Company, UK (1998)
Zhu, K.J., Jing, Y., Chang, D.Y.: A Discussion on Extent Analysis Method and Applications of fuzzy AHP. European Journal of Operational Research 116, 450–456 (1999)
Zimmermann, H.-J.: Fuzzy Set Theory and Its Applications, 3rd edn. Kluwer Academic Publishers, Boston (1996)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2012 Springer Berlin Heidelberg
About this paper
Cite this paper
Chan, K.Y., Kwong, C.K., Dillon, T.S. (2012). An Enhanced Fuzzy AHP Method with Extent Analysis for Determining Importance of Customer Requirements. In: Computational Intelligence Techniques for New Product Design. Studies in Computational Intelligence, vol 403. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27476-3_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-27476-3_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27475-6
Online ISBN: 978-3-642-27476-3
eBook Packages: EngineeringEngineering (R0)