A stepwise benchmarking approach to DEA with interval scale data-Reference-Cited by-同舟云学术

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A stepwise benchmarking approach to DEA with interval scale data

Published:2018-06-14 Issue:6 Volume:70 Page:954-961
ISSN:0160-5682
Container-title:Journal of the Operational Research Society
language:en
Short-container-title:Journal of the Operational Research Society

Author:

Nasrabadi Nasim¹,Dehnokhalaji Akram²,Korhonen Pekka³,Wallenius Jyrki³

Affiliation:

1. Faculty of Mathematical Science and Statistics, Department of Mathematics, University of Birjand, Birjand, Iran.

2. Faculty of Mathematical Sciences and Computer, Department of Computer Science, Kharazmi University, Tehran, Iran.

3. Department of Information and Service Management, Aalto University School of Business, Helsinki, Finland.

Publisher

Informa UK Limited

Subject

Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/01605682.2018.1471375

Reference23 articles.

1. Model improvement for computational difficulties of DEA technique in the presence of special DMUs

2. Closest targets and minimum distance to the Pareto-efficient frontier in DEA

3. The relevance of DEA benchmarking information and the Least-Distance Measure

4. Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis

5. Analysing Olympic Games through dominance networks

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2. Stage interval ratio DEA models and applications;Expert Systems with Applications;2024-03

3. Setting closer targets based on non-dominated convex combinations of Pareto-efficient units: A bi-level linear programming approach in Data Envelopment Analysis;European Journal of Operational Research;2023-12

4. Benchmarking with nonconvex production possibility set through data envelopment analysis: An application to China’s transportation system;Expert Systems with Applications;2022-07

5. Overall Efficiency of Four-Stage Structure with Undesirable Outputs: A New SBM Network DEA Model;Complexity;2022-04-26

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