Journal:Computers & Industrial Engineering

Key Words:Data envelopment analysis; Ranking criterion; Uncertainty theory; Uncertain variable; Uncertain meas

Abstract:Data Envelopment Analysis (DEA) is a very effective method to evaluate the relative efficiency of decision-making units (DMUs), which has been applied extensively to education, hospital, finance, etc. However, in real-world situations, the data of production processes cannot be precisely measured in some cases, which leads to the research of DEA in uncertain environments. This paper will give some researches to uncertain DEA based on uncertainty theory. Due to the uncertain inputs and outputs, we will give three uncertain DEA models, as well as three types of fully ranking criteria. For each u

Co-author:Zhang Qingyuan,Rui Kang,Cissy Yang

Indexed by:Development research

Document Code:000407657400042

First-Level Discipline:Control Science and Engineering

Document Type:J

Volume:110

Page Number:498-504

ISSN No.:03608352

Translation or Not:no

CN No.:null

Date of Publication:2017-08-15

Included Journals:SCI

Links to published journals:https://doi-org-443.e.buaa.edu.cn/10.1016/j.cie.2017.05.034

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