An AHP/DEA methodology for ranking decision making units
By Zilla Sinuany-Stern, A. Mehrez, Yossi Hadad. 2000
322 citations recorded by the source corpus.
Subfields: Management Information Systems, Management of Technology and Innovation, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/8a2302ac26de0ed59e84b8a0edb663e0af588d9a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Adli Mustafa
- M. Jalal Kamali
- Saeed Zolfaghari
- M. Z. Angiz
- Ramakrishnan Ramanathan
- Abdullah Aldamak
- David Hasin
- Golam Kabir
In Management of Technology and Innovation
In Management Science and Operations Research
- Adli Mustafa
- M. Jalal Kamali
- Saeed Zolfaghari
- M. Z. Angiz
- Ramakrishnan Ramanathan
- Abdullah Aldamak
- Peng Zhou
- Beng Wah Ang
Citations in the corpus
- Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process (2006, methodology): “[30] have applied DEA on pairs of units, used the resulting DEA scores to generate a pair-wise comparison matrix and then applied AHP to generate weights of units from the matrix.”
- Review of efficiency ranking methods in data envelopment analysis (2017, methodology): “[80] on DEA models in 2000 was carried out by using the analytic hierarchy process (AHP) approach, which was further developed by Jablonsky [30], who demonstrated that this approach could complement the use of DEA in MCDM.”
- Contract farming configuration: Smallholders’ preferences for contract design attributes (2013, unknown): “The farmers evaluated every pair of contract design attributes using a pairwise comparison matrix (Sinuany-Stern et al., 2000).”
- Cross-ranking of Decision Making Units in Data Envelopment Analysis (2013, methodology): “[16] proposed an approach based on the relationship between DEA and AHP (analytic hierarchy process) to rank DMUs.”