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• W2010544265 abstract "This research attempts to solve the problem of dealing with missing data via the interface of Data Envelopment Analysis (DEA) and human behavior. Missing data is under continuing discussion in various research fields, especially those highly dependent on data. In practice and research, some necessary data may not be obtained in many cases, for example, procedural factors, lack of needed responses, etc. Thus the question of how to deal with missing data is raised. In this paper, modified DEA models are developed to estimate the appropriate value of missing data in its interval, based on DEA and Inter-dimensional Similarity Halo Effect. The estimated value of missing data is determined by the General Impression of original DEA efficiency. To evaluate the effectiveness of this method, the impact factor is proposed. In addition, the advantages of the proposed approach are illustrated in comparison with previous methods." @default.
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• W2010544265 date "2013-05-01" @default.
• W2010544265 modified "2023-10-16" @default.
• W2010544265 title "Dealing with missing data based on data envelopment analysis and halo effect" @default.
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• W2010544265 doi "https://doi.org/10.1016/j.apm.2012.11.015" @default.
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