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DEANN : a healthcare analytic methodology of data envelopment analysis and artificial neural networks for the prediction of organ recipient functional status

Misiunas, Nicholas; Oztekin, Asil; Chen, Yao; Chandra, … - In: Omega : the international journal of management science 58 (2016), pp. 46-54

Persistent link: https://www.econbiz.de/10011416986

DEA for non-homogenous parallel networks

Du, Juan; Chen, Yao; Huo, Jiazhen - In: Omega : the international journal of management science 56 (2015), pp. 122-132

Persistent link: https://www.econbiz.de/10011339733

Integer-valued DEA super-efficiency based on directional distance function with an application of evaluating mood and its impact on performance

Chen, Yao; Djamasbi, Soussan; Du, Juan; Lim, Sungmook - In: International journal of production economics 146 (2013) 2, pp. 550-556

Persistent link: https://www.econbiz.de/10010222149

A modified Malmquist-Luenberger productivity index : assessing environmental productivity performance in China

Du, Juan; Chen, Yao; Huang, Ying - In: European journal of operational research : EJOR 269 (2018) 1, pp. 171-187

Persistent link: https://www.econbiz.de/10011864257

Data envelopment analysis application in sustainability : the origins, development and future directions

Zhou, Haibo; Yang, Yi; Chen, Yao; Zhu, Joe - In: European journal of operational research : EJOR 264 (2018) 1, pp. 1-16

Persistent link: https://www.econbiz.de/10011801541

Equivalent solutions to additive two-stage network data envelopment analysis

Zhang, Linyan; Chen, Yao - In: European journal of operational research : EJOR 264 (2018) 3, pp. 1189-1191

Persistent link: https://www.econbiz.de/10011802362

DEA-based production planning considering production stability

Wu, Huaqing; Yang, Jingyu; Chen, Yao; Liang, Liang; Chen, Ya - In: INFOR : information systems and operational research 57 (2019) 3, pp. 477-494

Persistent link: https://www.econbiz.de/10012203609

Network DEA pitfalls: Divisional efficiency and frontier projection under general network structures

Chen, Yao; Cook, Wade D.; Kao, Chiang; Zhu, Joe - In: European Journal of Operational Research 226 (2013) 3, pp. 507-515

Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs). Recently network DEA models been developed to examine the efficiency of DMUs with internal structures. The internal network structures range from a simple two-stage process to a complex...

Persistent link: https://www.econbiz.de/10010608528

Integer-valued DEA super-efficiency based on directional distance function with an application of evaluating mood and its impact on performance

Chen, Yao; Djamasbi, Soussan; Du, Juan; Lim, Sungmook - In: International Journal of Production Economics 146 (2013) 2, pp. 550-556

The conventional data envelopment analysis (DEA) assumes that the inputs and outputs are real values. However, in many real world instances, some inputs and outputs must be in integer values. While integer-valued DEA models have been proposed, the current paper develops an integer-valued DEA...

Persistent link: https://www.econbiz.de/10010869212

CONTEXT-DEPENDENT DEA WITH AN APPLICATION TO TOKYO PUBLIC LIBRARIES

CHEN, YAO; MORITA, HIROSHI; ZHU, JOE - In: International Journal of Information Technology & … 04 (2005) 03, pp. 385-394

Data envelopment analysis (DEA) identifies an empirical efficient frontier of a set of peer decision making units (DMUs) with multiple inputs and outputs. The efficient frontier is characterized by the DMUs with an unity efficiency score. The performance of inefficient DMUs is characterized with...

Persistent link: https://www.econbiz.de/10004977389