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Title

Enhanced Multi-Objective Voting Data Envelopment Analysis Models with Common Set of Weights

Year: 1399
COI: JR_MACO-1-2_005
Language: EnglishView: 118
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Authors

Mohammad Izadikhah - Department of Mathematics, College of Science, Arak Branch, Islamic Azad University, Arak, Iran, P. O. Box: ۳۸۱۳۵/۵۶۷
Erdal Karapinar - Department of Medical Research, China Medical University, Taichung, Taiwan.

Abstract:

The important issue of the aggregation preference is how to determine the weights associated with different ranking places and DEA models play an important role in this subject. DEA models use assignments of the same aggregate value (equal to unity) to evaluate multiple alternatives as efficient. Furthermore, overly diverse weights can appear, thus, the efficiency of different alternatives obtained by different sets of weights may be unable to be compared and ranked on the same basis. In order to solve two above problems, and rank all the alternatives on the same scale, in this paper, we propose a multiple objective programming (MOP) approach for generating a common set of weights in the DEA framework. Also, we develop a novel model to make a maximum discriminating among candidates’ rankings. Additionally, we present two scenarios to provide suitable strategies for solving the proposed MOP model.

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Paper COI Code

This Paper COI Code is JR_MACO-1-2_005. 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/1144629/

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Izadikhah, Mohammad and Karapinar, Erdal,1399,Enhanced Multi-Objective Voting Data Envelopment Analysis Models with Common Set of Weights,https://civilica.com/doc/1144629

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Type of center: Azad University
Paper count: 7,101
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