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Title

A New Approach for Solving Intuitionistic Fuzzy Data Envelopment Analysis Problems

Year: 1400
COI: JR_FOMJ-3-2_006
Language: EnglishView: 68
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Authors

Francisco Javier Santos Arteaga - Faculty of Economics and Management, Free University of Bolzano, Bolzano, Italy
Ali Ebrahimnejad - Department of Mathematics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran
Amir Zabihi - Department of Mathematics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran

Abstract:

Data envelopment analysis (DEA) is a mathematical technique based on linear programming applied to evaluate the efficiency of decision-making units dealing with multiple inputs and outputs. In classical DEA models, it is assumed that input and output data are accurate though real-world applications require considering inaccurate and ambiguous data. Moreover, linguistic forms may be intuitionistic in nature rather than fuzzy. We propose a novel approach to solve DEA models characterized by intuitionistic fuzzy data. The model is transformed into a linear programming problem with an intuitionistic fuzzy objective function, and an alphabetical technique is applied to solve it. The proposed approach is easy to implement, involving a lower number of calculations than more computationally demanding techniques introduced in the literature. It also provides a set of ranking results that are significantly correlated with those derived from the implementation of more complex techniques. Its applicability would allow to extend the analysis of intricate evaluation scenarios common to the standard DEA literature into intuitionistic fuzzy environments.

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Paper COI Code

This Paper COI Code is JR_FOMJ-3-2_006. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1301052/

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If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Santos Arteaga, Francisco Javier and Ebrahimnejad, Ali and Zabihi, Amir,1400,A New Approach for Solving Intuitionistic Fuzzy Data Envelopment Analysis Problems,https://civilica.com/doc/1301052

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