Linear goal programming in estimation of classification probability

Recently, linear programming approaches to classification problems have been widely studied and have been shown to yield satisfactory results. However, those linear programming model do not incorporate discriminating information about objects within groups. In order to utilize within group variation...

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Veröffentlicht in:European journal of operational research 1993-05, Vol.67 (1), p.101-110
Hauptverfasser: Lam, K.F., Choo, E.U., Wedley, W.C.
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container_title European journal of operational research
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creator Lam, K.F.
Choo, E.U.
Wedley, W.C.
description Recently, linear programming approaches to classification problems have been widely studied and have been shown to yield satisfactory results. However, those linear programming model do not incorporate discriminating information about objects within groups. In order to utilize within group variations, an approach is presented which directly incorporates membership probabilities in a linear goal programming model.
doi_str_mv 10.1016/0377-2217(93)90325-H
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language eng
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source RePEc; Elsevier ScienceDirect Journals
subjects Applied sciences
Classification
Decision making
Decision theory. Utility theory
Exact sciences and technology
Goal programming
Linear programming
Multiple criteria decision-making
Multivariate statistics
Operational research and scientific management
Operational research. Management science
Operations research
Statistical analysis
title Linear goal programming in estimation of classification probability
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