Increasing the discriminatory power of DEA in the presence of the undesirable outputs and large dimensionality of data sets with PCA

Expert Systems with Applications

Volumn 36, Issue 3 PART 2, 2009, Pages 5895-5899

  Liang, Liang ^a   Li, Yongjun ^a   Li, Shibing ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Assurance region (AR); Data envelopment analysis (DEA); Data reduction; Principal component analysis (PCA); Undesirable output

Indexed keywords

DATA ENVELOPMENT ANALYSIS; DATA REDUCTION; DISCRIMINATORS; LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS; METADATA;

ASSURANCE REGION; CHINESE CITIES; DATA TRANSFORMATION; DESIRABLE OUTPUTS; DISCRIMINATORY POWER; EFFECTIVE APPROACHES; PRINCIPAL COMPONENTS; UNDESIRABLE OUTPUT;

PRINCIPAL COMPONENT ANALYSIS;

EID: 58349113168     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.07.022     Document Type: Article

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