doi: 10.4304/jsw.9.5.1275-1280
A Method for Determining the Importance of Customer Demand Based on Rough Set and DEA
- 1 Quality Development Institute, Kunming University of Science and Technology, Kunming, P. R. China
- 2 Engineering Research Center of Metallurgical Energy Conservation and Emission Reduction Ministry of Education, Kunming University of Science and Technology, Kunming, P.R. China
Abstract
Affected by customers’ lack of experiences and personal preferences, the importance of customer demand as 0 by only using Rough Set method frequently occurs. Existing methods could not determine this importance of indicators, so it is usually deleted. A new method combining Rough Set and Data Envelopment Analysis (DEA) to determine importance of customer demand in Quality Function Deployment (QFD) is proposed. Based on Rough Set theory, we modify the importance as 0 to determine the fundamental importance of customer demand by combining customers’ preferences and experts’ experiences. Let customer demand be decision-making unit, competitive differences and other factors the input and output indicators, which give full play to DEA’s advantages of avoiding subjective factors and reducing errors to obtain relative efficiency of pure technical indicators. Final importance of customer demand is confirmed by combing fundamental importance with relative efficiency in QFD. Lastly, an application example is to illustrate the effectiveness of this method.
Keywords
- quality function deployment
- rough set
How to Cite
Xiuli Sang, Song Gao, Jianxin Xu, and Hua Wang, "A Method for Determining the Importance of Customer Demand Based on Rough Set and DEA," Journal of Software, vol. 9, no. 5, pp. 1275-1280, 2014. https://doi.org/ 10.4304/jsw.9.5.1275-1280
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
