A Common Weight Multi-criteria Decision analysis-data Envelopment Analysis Approach with Assurance Region for Weight Derivation from Pairwise Comparison Matrices

Authors

1 School of Industrial Engineering, University of Tehran

2 Faculty of Engineering, ShahreKord University

Abstract

Deriving weights from a pairwise comparison matrix (PCM) is a subject for which a wide range of methods have ever been presented. This paper proposes a common weight multi criteria decision analysis-data envelopment analysis (MCDA-DEA) approach with assurance region for weight derivation from a PCM. The proposed model has several merits over the competing approaches and removes the drawbacks of the well-known DEAHP and DEA/AR methods. Some numerical examples are provided from the literature in order to confirm the merits of the proposed method and its applications in multi criteria decision making. Results disclose the advantages of the proposed approach.

Keywords

International Journal of Engineering
Volume 28, Issue 12
TRANSACTIONS C: Aspects
December 2015
Pages 1746-1755

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