Improved interval DEA models with common weight

Jiasen Sun; Yajun Miao; Jie Wu; Lianbiao Cui; Runyang Zhong

Kybernetika (2014)

  • Volume: 50, Issue: 5, page 774-785
  • ISSN: 0023-5954

Abstract

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The traditional data envelopment analysis (DEA) model can evaluate the relative efficiencies of a set of decision making units (DMUs) with exact values. But it cannot handle imprecise data. Imprecise data, for example, can be expressed in the form of the interval data or mixtures of interval data and exact data. In order to solve this problem, this study proposes three new interval DEA models from different points of view. Two examples are presented to illustrate and validate these models.

How to cite

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Sun, Jiasen, et al. "Improved interval DEA models with common weight." Kybernetika 50.5 (2014): 774-785. <http://eudml.org/doc/262149>.

@article{Sun2014,
abstract = {The traditional data envelopment analysis (DEA) model can evaluate the relative efficiencies of a set of decision making units (DMUs) with exact values. But it cannot handle imprecise data. Imprecise data, for example, can be expressed in the form of the interval data or mixtures of interval data and exact data. In order to solve this problem, this study proposes three new interval DEA models from different points of view. Two examples are presented to illustrate and validate these models.},
author = {Sun, Jiasen, Miao, Yajun, Wu, Jie, Cui, Lianbiao, Zhong, Runyang},
journal = {Kybernetika},
keywords = {data envelopment analysis (DEA); interval data; interval DEA model; common weight; data envelopment analysis (DEA); interval data; interval DEA model; common weight},
language = {eng},
number = {5},
pages = {774-785},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Improved interval DEA models with common weight},
url = {http://eudml.org/doc/262149},
volume = {50},
year = {2014},
}

TY - JOUR
AU - Sun, Jiasen
AU - Miao, Yajun
AU - Wu, Jie
AU - Cui, Lianbiao
AU - Zhong, Runyang
TI - Improved interval DEA models with common weight
JO - Kybernetika
PY - 2014
PB - Institute of Information Theory and Automation AS CR
VL - 50
IS - 5
SP - 774
EP - 785
AB - The traditional data envelopment analysis (DEA) model can evaluate the relative efficiencies of a set of decision making units (DMUs) with exact values. But it cannot handle imprecise data. Imprecise data, for example, can be expressed in the form of the interval data or mixtures of interval data and exact data. In order to solve this problem, this study proposes three new interval DEA models from different points of view. Two examples are presented to illustrate and validate these models.
LA - eng
KW - data envelopment analysis (DEA); interval data; interval DEA model; common weight; data envelopment analysis (DEA); interval data; interval DEA model; common weight
UR - http://eudml.org/doc/262149
ER -

References

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