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  • 杨懿

    的个人主页 http://shi.buaa.edu.cn/09739/zh_CN/index.htm

  •   博士生导师   硕士生导师
  • 主要任职:教授
  • 其他任职:国防重点实验室主任助理
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Some new ranking criteria in data envelopment analysis under uncertain environment
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发表刊物:Computers & Industrial Engineering
关键字:Data envelopment analysis; Ranking criterion; Uncertainty theory; Uncertain variable; Uncertain meas
摘要: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
合写作者:Zhang Qingyuan,康锐,杨懿
论文类型:开发研究
论文编号:000407657400042
一级学科:控制科学与工程
文献类型:期刊
卷号:110
页面范围:498-504
ISSN号:03608352
是否译文:否
CN号:null
发表时间:2017-08-15
收录刊物:SCI
发布期刊链接:https://doi-org-443.e.buaa.edu.cn/10.1016/j.cie.2017.05.034
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