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Evaluating the Multi-period Systems Efficiency in the Presence of Fuzzy Data

Evaluating the Multi-period Systems Efficiency in the Presence of Fuzzy Data This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). http://dx.doi.org/10.1016/j.fiae.2017.09.003 Period 1 Period 2 Overall Efficiency 1.2 0.8 0.6 0.4 0.2 1 2 3 4 5 DMU Efficiency http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Fuzzy Information and Engineering Taylor & Francis

Evaluating the Multi-period Systems Efficiency in the Presence of Fuzzy Data

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18 pages

Evaluating the Multi-period Systems Efficiency in the Presence of Fuzzy Data

Abstract

AbstractIn many real world applications, the efficiency of production systems should be determined in multiple periods of time while inputs and outputs are imprecise and fuzzy. However, the relative efficiencies of decision making units (DMUs) in the traditional data envelopment analysis (DEA) models are usually measured in a particular period of time and in the presence of precise inputs and outputs. Therefore, the current paper proposes a method to measuring the overall and period...
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Publisher
Taylor & Francis
Copyright
© 2017 Fuzzy Information and Engineering Branch of the Operations Research Society of China. Production and hosting by Elsevier B.V. All rights reserved.
ISSN
1616-8666
eISSN
1616-8658
DOI
10.1016/j.fiae.2017.09.003
Publisher site
See Article on Publisher Site

Abstract

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). http://dx.doi.org/10.1016/j.fiae.2017.09.003 Period 1 Period 2 Overall Efficiency 1.2 0.8 0.6 0.4 0.2 1 2 3 4 5 DMU Efficiency

Journal

Fuzzy Information and Engineering – Taylor & Francis

Published: Sep 1, 2017

Keywords: Data envelopment analysis; Efficiency; Multiple periods; Fuzzy data

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