Distinctive data envelopment analysis model for evaluating global environment performance

Amir Shabani; Seyed Mohammad Reza Torabipour; Reza Farzipoor Saen; Mohsen Khodakarami

doi:10.1016/j.apm.2014.12.053

Distinctive data envelopment analysis model for evaluating global environment performance

Amir Shabani, Seyed Mohammad Reza Torabipour, Reza Farzipoor Saen, Mohsen Khodakarami

Amsterdam Business Research Institute

Research output: Contribution to Journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	4385-4404
Journal	APPLIED MATHEMATICAL MODELLING
Volume	39
Issue number	15
DOIs	https://doi.org/10.1016/j.apm.2014.12.053
Publication status	Published - 1 Aug 2015

Keywords

Data envelopment analysis
Global environmental performance
Imprecise data
Minimax regret-based approach
Non-discretionary factor
Undesirable factor

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10.1016/j.apm.2014.12.053

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title = "Distinctive data envelopment analysis model for evaluating global environment performance",

keywords = "Data envelopment analysis, Global environmental performance, Imprecise data, Minimax regret-based approach, Non-discretionary factor, Undesirable factor",

author = "Amir Shabani and Torabipour, {Seyed Mohammad Reza} and Saen, {Reza Farzipoor} and Mohsen Khodakarami",

year = "2015",

month = aug,

day = "1",

doi = "10.1016/j.apm.2014.12.053",

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AU - Torabipour, Seyed Mohammad Reza

AU - Saen, Reza Farzipoor

AU - Khodakarami, Mohsen

PY - 2015/8/1

Y1 - 2015/8/1

KW - Data envelopment analysis

KW - Global environmental performance

KW - Imprecise data

KW - Minimax regret-based approach

KW - Non-discretionary factor

KW - Undesirable factor

U2 - 10.1016/j.apm.2014.12.053

DO - 10.1016/j.apm.2014.12.053

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JO - APPLIED MATHEMATICAL MODELLING

JF - APPLIED MATHEMATICAL MODELLING

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ER -