Advanced Search

Query:

Fill in the form and click »Search«...

Format:

Display: entries per page entries

Zbl 1101.90383
Sueyoshi, Toshiyuki
DEA-discriminant analysis: methodological comparison among eight discriminant analysis approaches. (English)
[J] Eur. J. Oper. Res. 169, No. 1, 247-272 (2006). ISSN 0377-2217

Summary: Discriminant Analysis (DA) is a classification method that can predict the group membership of a newly sampled observation. Recently, a new type of non-parametric DA approach is proposed to provide a set of weights of a discriminant function, consequently yielding an evaluation score for the determination of group membership. The non-parametric DA is referred to as ``Data Envelopment Analysis-Discriminant Analysis (DEA-DA),'' because it maintains its discriminant capabilities by incorporating the non-parametric feature of DEA into DA. In this study, a use of the mixed integer approach of DEA-DA is compared with other DA methods. It is confirmed that it performs at least as well as the other well known DA methods. The proposed approach is further reformulated in a manner that it can deal with classification of more than two groups.

MSC 2000:: *90C08 Special problems of linear programming
90B50 Multiple-criteria decision making

Keywords: discriminant analysis; DEA

Comment on this Item PDF MathML XML ASCII DVI PS BibTeX Online Ordering Article Journal

	Scientific prize winners of the ICM 2010
	Overhang
	Lie groups, physics and geometry. An introduction for physicists, engineers and chemists.

Advanced Search

Zentralblatt MATH Berlin [Germany]