A confidence voting process for ranking problems based on support vector machines

DOI10.1007/s10479-008-0410-6zbMath1163.91342OpenAlexW2043020814MaRDI QIDQ1026549

Jiming Peng, Tianshi Jiao, Tamás Terlaky

Publication date: 25 June 2009

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-008-0410-6

zbMATH Keywords

rankingmulti-class classification``Max-win votingfuzzy voting

Mathematics Subject Classification ID

Minimax problems in mathematical programming (90C47) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Voting theory (91B12)

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Uses Software

• UCI-ml
• LIBSVM

Cites Work

• Unnamed Item
• Support vector machines with applications
• Multicriteria decision aid classification methods
• Support-vector networks
• Multi‐criteria decision aid in financial decision making: methodologies and literature review