Undesirable Factors and Improvement of Efficiency in Data Envelopment Analysis

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EYNI M.; KHODADADI M.

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ISSN: 2588-4824

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Journal: INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS Year:2020 | Volume:12 | Issue:3 Page(s): 297-301

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Title

Undesirable Factors and Improvement of Efficiency in Data Envelopment Analysis

Author(s)

EYNI M. | KHODADADI M. | Issue Writer Certificate

Keywords

DEA

MOLP

Undesirable Output

Cone Constraints

Abstract

In the present paper, determining the output levels of decision-making units (DMUs) with the pref-erence of Cone Constraints, when some of the outputs are undesirable, was discussed. The output levels of a DMU are estimated when some or all of related input components are increased and the current e ciency level is improved. To estimate the output levels, the inverse data envelopment anal-ysis (DEA) and multi objective linear programming (MOLP) models were used. The e cacy of the proposed method is indicated by using an application in bank.

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APA: Copy

EYNI, M., & KHODADADI, M.. (2020). Undesirable Factors and Improvement of Efficiency in Data Envelopment Analysis. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 12(3), 297-301. SID. https://sid.ir/paper/745520/en

Vancouver: Copy

EYNI M., KHODADADI M.. Undesirable Factors and Improvement of Efficiency in Data Envelopment Analysis. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2020;12(3):297-301. Available from: https://sid.ir/paper/745520/en

IEEE: Copy

M. EYNI, and M. KHODADADI, “Undesirable Factors and Improvement of Efficiency in Data Envelopment Analysis,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 12, no. 3, pp. 297–301, 2020, [Online]. Available: https://sid.ir/paper/745520/en

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