Dealing with missing data based on data envelopment analysis and halo effect-Reference-Cited by-同舟云学术

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Dealing with missing data based on data envelopment analysis and halo effect

Published:2013-05 Issue:9 Volume:37 Page:6135-6145
ISSN:0307-904X
Container-title:Applied Mathematical Modelling
language:en
Short-container-title:Applied Mathematical Modelling

Author:

Zha Yong,Song Ali,Xu Chuanyong,Yang Honglin

Funder

National Natural Science Foundation of China

National Natural Science Foundation of China for Innovative Research Groups

Major International (Regional) Joint Research Projects

Major Program

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation

Reference33 articles.

1. A review of techniques for treating missing data in OM survey research;Tsikriktsis;J. Oper. Manage.,2005

2. T. Kuosmanen, Modeling black data entries in Data Envelopment Analysis, Working Paper, Wageningen University, Netherlands, 2002.

3. Classification with incomplete survey data: a Hopfield neural network approach;Wang;Comput. Oper. Res.,2005

4. Effects of the neural network s-Sigmoid function on KDD in the presence of imprecise data;Kros;Comput. Oper. Res.,2006

5. Towards optimal use of incomplete classification data;Wang;Comput. Oper. Res.,2009

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