Discriminant analysis of interval data using Monte Carlo method in assessment of overlap

DOI10.1016/J.AMC.2007.02.113zbMath1193.90128OpenAlexW2093657512MaRDI QIDQ990466

H. Zhiani Rezai, F. Rezai Balf, Gholam Reza Jahanshahloo, Farhad Hosseinzadeh Lotfi

Publication date: 1 September 2010

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2007.02.113

zbMATH Keywords

Monte Carlo methoddata envelopment analysisinterval datadiscriminate analysis

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Linear programming (90C05) Management decision making, including multiple objectives (90B50)

Related Items (5)

Can R\&D expenditure avoid corporate bankruptcy? Comparison between Japanese machinery and electric equipment industries using DEA-discriminant analysis ⋮ Discriminant analysis of interval data using Monte Carlo method in assessment of overlap ⋮ Distance-based linear discriminant analysis for interval-valued data ⋮ Discriminant analysis of interval data: an assessment of parametric and distance-based approaches ⋮ Developing a model for determining optimal \(\eta\) in DEA-discriminant analysis for predicting suppliers' group membership in supply chain

Cites Work

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• Discriminant analysis of interval data using Monte Carlo method in assessment of overlap
• DEA-discriminant analysis in the view of goal programming
• Using Monte Carlo method for ranking efficient DMUs
• IDEA and AR-IDEA: Models for Dealing with Imprecise Data in DEA

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