Developing a model for determining optimal \(\eta\) in DEA-discriminant analysis for predicting suppliers' group membership in supply chain

DOI10.1007/s12597-014-0173-6zbMath1332.90147OpenAlexW2470676633WikidataQ59165151 ScholiaQ59165151MaRDI QIDQ260503

Elahe Boudaghi, Reza Farzipoor Saen

Publication date: 21 March 2016

Published in: Opsearch (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12597-014-0173-6

zbMATH Keywords

DEA-discriminant analysisdiscriminant linear functionhierarchical cluster analysispredicting suppliers' group membership

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08) Case-oriented studies in operations research (90B90)

Related Items (1)

Developing a novel model of data envelopment analysis-discriminant analysis for predicting group membership of suppliers in sustainable supply chain

Cites Work

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• DEA based dimensionality reduction for classification problems satisfying strict non-satiety assumption
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• DEA-DA for bankruptcy-based performance assessment: misclassification analysis of Japanese construction industry
• DEA-discriminant analysis in the view of goal programming
• Stock selection using data envelopment analysis-discriminant analysis
• A USE OF NONPARAMETRIC TESTS FOR DEA-DISCRIMINANT ANALYSIS: A METHODOLOGICAL COMPARISON

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