A Method for Determining the Importance of Customer Demand Based on Rough Set and DEA

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.