Volume 8, Issue 3 (Vol. 8,No. 3, 2022)                   mmr 2022, 8(3): 153-171 | Back to browse issues page

XML Persian Abstract Print


, azizhossein@gmail.com
Abstract:   (491 Views)
Data Envelopment Analysis (DEA) combined with Analytic Hierarchy Process (AHP) provides Data Envelopment Analytic Hierarchy Process (DEAHP) methodology for weight derivation and aggregation. A double-frontier analysis approach is proposed in this article to derive priorities in AHP. The proposed method combines DEA variable weight with AHP from both optimistic and pessimistic views to obtain the most desirable and undesirable weights based on a pairwise comparison matrix for decision criteria or alternatives. This approach is able to eliminate DEAHP drawbacks to provide an improved estimate of priorities and better decisions than DEAHP. Two numerical examples including a real AHP application to recruit a research fellow for a research project were presented to demonstrate advantages of the proposed method and its potential applications in multiple-criteria decision analysis.
Full-Text [PDF 1572 kb]   (170 Downloads)    
Type of Study: Original Manuscript | Subject: Mat
Received: 2020/11/11 | Revised: 2023/06/18 | Accepted: 2021/01/11 | Published: 2022/12/20 | ePublished: 2022/12/20

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.