A data envelopment analysis method with assurance region for weight generation in the analytic hierarchy process

  • Authors:
  • Ying-Ming Wang;Kwai-Sang Chin;Gary Ka Kwai Poon

  • Affiliations:
  • School of Management, Huazhong University of Science and Technology, Wuhan 430074, PR China and Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, 83 ...;Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, PR China;Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, PR China

  • Venue:
  • Decision Support Systems
  • Year:
  • 2008

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Abstract

Data envelopment analysis (DEA) has been combined with the analytic hierarchy process (AHP) to form a DEAHP for weight derivation and aggregation in the AHP. This paper proposes a DEA model with assurance region (AR) for priority derivation in the AHP, which is referred to as the DEA/AR model. This new DEA model can overcome the shortcomings of the DEAHP such as illogical local weights, over insensitivity to some comparisons, information loss, and overestimation of some local weights, and provide better priority estimate and better decision conclusions than the DEAHP. Numerical examples including a real application of the AHP to the recruitment of a research fellow for a research project are provided to show the advantages of the DEA/AR model and its potential applications in multiple criteria decision analysis (MCDA).