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Cost, Revenue and Profit Efficiency Models in Generalized Fuzzy Data Envelopment Analysis

Cost, Revenue and Profit Efficiency Models in Generalized Fuzzy Data Envelopment Analysis 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.2017.06.007 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Fuzzy Information and Engineering Taylor & Francis

Cost, Revenue and Profit Efficiency Models in Generalized Fuzzy Data Envelopment Analysis

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Cost, Revenue and Profit Efficiency Models in Generalized Fuzzy Data Envelopment Analysis

Abstract

AbstractOne of the most important information given by data envelopment analysis models is the cost, revenue and profit efficiency of decision making units (DMUs). Cost efficiency is defined as the ratio of minimum costs to current costs, while revenue efficiency is defined as the ratio of maximum revenue to current revenue of the DMU. This paper presents a framework where data envelopment analysis (DEA) is used to measure cost, revenue and profit efficiency with fuzzy data. In such cases,...
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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.2017.06.007
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.2017.06.007

Journal

Fuzzy Information and Engineering – Taylor & Francis

Published: Jun 1, 2017

Keywords: Cost Efficiency; Revenue Efficiency; Profit Efficiency; Fuzzy Mathematical programming; Fuzzy Data; Generalized fuzzy DEA methods; Sample decision making unit

References

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