Combining different prioritization methods in the analytic hierarchy process synthesis
Computers and Operations Research
Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process
Computers and Operations Research
Syndicating Web Services: A QoS and user-driven approach
Decision Support Systems
Failure mode and effects analysis by data envelopment analysis
Decision Support Systems
A maturity model based CoP evaluation framework: A case study of strategic CoPs in a Korean company
Expert Systems with Applications: An International Journal
Consensus models for AHP group decision making under row geometric mean prioritization method
Decision Support Systems
A linear programming approximation to the eigenvector method in the analytic hierarchy process
Information Sciences: an International Journal
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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).