A complete ranking of decision making units with interval data

Somayeh Khezri, Gholam Reza Jahanshahloo, Akram Dehnokhalaji, Farhad Hosseinzadeh Lotfi

Research output: Contribution to journalArticlepeer-review

Abstract

Interval data envelopment analysis (interval DEA) deals with the problem of efficiency assessment when the inputs and/or outputs of decision making units (DMUs) are given as interval data. This paper focuses on the problem of ranking DMUs with interval data. First, we define extreme efficient units, super efficiency score, the best and the worst efficiency (inefficiency) frontiers in the interval DEA context. Then, we propose a novel method based on the lower and upper super efficiency scores of a unit under evaluation and the distance of that unit to four developed frontiers. Our method ranks all efficient and inefficient units which is one of the main advantages of it. Our method uses several essential criteria simultaneously to rank units with interval data. These criteria increase the discrimination power of our proposed method. Potential application of this method is illustrated with a dataset consisting of 30 branches of the social security insurance organisation in Tehran.
Original languageEnglish
Pages (from-to)332 - 359
JournalInternational Journal of Operational Research
Volume43
Issue number3
DOIs
Publication statusPublished - 13 Apr 2022

Bibliographical note

© 2022 Inderscience Enterprises Ltd. International Journal of Operational Research, 2022 Vol.43 No.3, pp.332 - 359. DOI: 10.1504/IJOR.2022.122335

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