Dehnokhalaji, Akram, Khezri, Somayeh and Emrouznejad, Ali (2022). A Box-Uncertainty in DEA:A Robust Performance Measurement Framework. Expert Systems with Applications, 187 ,
Abstract
The problem of assessment of Decision Making Units (DMUs) by using Data Envelopment Analysis (DEA) may not be straightforward due to the data uncertainty. Several studies have been developed to incorporate uncertainty into input/output values in the DEA literature. On the other hand, while traditional DEA models focus more on crisp data, there exist many applications in which data is reported in form of intervals. This paper considers the box-uncertainty in data which means that each input/output value is selected from a symmetric box. This specific type of uncertainty has been addressed as Interval DEA approaches. Our proposed model deals with efficiency evaluation of DMUs with imprecise data in a robust optimization. We assume that inputs and outputs are reported in the form of intervals and propose the robust counterpart problem for the envelopment form of the DEA model. Further, we also develop two ranking methods which have more benefits compared to some existing approaches. An illustrative example is provided to show how the proposed approaches work. An application on hospital efficiency in East Virginia is used to show the usefulness of the proposed approaches.
Publication DOI: | https://doi.org/10.1016/j.eswa.2021.115855 |
---|---|
Divisions: | College of Business and Social Sciences > Aston Business School > Operations & Information Management College of Business and Social Sciences > Aston Business School |
Additional Information: | © 2021, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Uncontrolled Keywords: | Box-uncertainty,Data uncertainty,Fuzzy DEA,Interval DEA,Ranking,Robust optimization techniques,General Engineering,Computer Science Applications,Artificial Intelligence |
Publication ISSN: | 1873-6793 |
Last Modified: | 16 Aug 2024 07:14 |
Date Deposited: | 14 Sep 2021 08:25 |
Full Text Link: | |
Related URLs: |
https://linking ... 95741742101215X
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2022-01 |
Published Online Date: | 2021-09-13 |
Accepted Date: | 2021-09-01 |
Authors: |
Dehnokhalaji, Akram
(![]() Khezri, Somayeh Emrouznejad, Ali ( ![]() |
Download
Version: Accepted Version
License: Creative Commons Attribution Non-commercial No Derivatives
| Preview