Journal:Soft Computing
Key Words:Data envelopment analysis; Uncertain measure; Uncertainty distribution; Efficiency; Sensitivity; Sta
Abstract:DEA is a non-parametric productive efficiency measurement method for operations with multiple inputs and multiple outputs. An issue which has received widespread attention in rapidly growing field of DEA is the sensitivity and stability of the evaluating results to perturbations in the data. Due to the uncertainty of the data in real life, this paper will perform a sensitivity and stability analysis of the additive model with uncertain inputs and output. Some theories of the uncertain DEA model based on uncertainty theory will be given. It is followed by some computation methods of the stable
Co-author:Rui Kang,Cissy Yang
First Author:wenmeilin
Indexed by:Development research
Correspondence Author:qinzhongfeng
Document Code:000355934500016
First-Level Discipline:Control Science and Engineering
Document Type:J
Volume:19
Issue:7
Page Number:1987-1996
ISSN No.:14337479 14327643
Translation or Not:no
CN No.:null
Date of Publication:2015-06-11
Included Journals:SCI
Links to published journals:https://doi-org-443.e.buaa.edu.cn/10.1007/s00500-014-1385-7
Attachments:
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
E-Mail:
Date of Employment:2014-01-20
School/Department:可靠性与系统工程学院
Business Address:为民楼334
Gender:Female
Contact Information:82314879
Status:Employed
Academic Titles:教授
Other Post:国防重点实验室主任助理
Alma Mater:南京理工大学
Discipline:Control Science and Engineering
Honors and Titles:
军队科技进步奖二等奖 2009
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