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Fuzzy Information and Engineering
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Fuzzy Information and Engineering
Article . 2022
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Efficiency Decomposition in Two-Stage Network in Data Envelopment Analysis with Undesirable Intermediate Measures and Fuzzy Input and Output

descriptionPublicationkeyboard_double_arrow_right Article 03 Apr 2022 English Publisher:Tsinghua University PressJournal:Fuzzy Information and Engineering, volume 14, pages 123-142 (issn: 1616-8658, eissn: 1616-8666, Copyright policy )
Authors: Fatima Saeedi Aval Noughabi; Najmeh Malekmohammadi; Farhad Hosseinzadeh Lotfi; Shabnam Razavyan;

doi: 10.1080/16168658.2022.2121153

Efficiency Decomposition in Two-Stage Network in Data Envelopment Analysis with Undesirable Intermediate Measures and Fuzzy Input and Output

Abstract

This paper presents a model for the efficiency evaluation of decision-making units comprising a network structure with undesirable intermediate measures. This model is then generalised to evaluate the efficiency of network decision-making units with triangular fuzzy data and undesirable intermediate measures. In this study, data envelopment analysis (DEA) models with fuzzy network structures and undesirable intermediate measures are considered and solved as linear triangular fuzzy planning problems. With numerical results, the application of the proposed model in the chipboard industry of wood lumber has been shown.

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Keywords

triangular fuzzy numbers, QA1-939, data envelopment analysis, TA1-2040, Engineering (General). Civil engineering (General), Undesirable intermediate measures, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
gold