A corporate credit rating model using support vector domain combined with fuzzy clustering algorithm

DOI10.1155/2012/302624zbMath1264.91134OpenAlexW2146523061WikidataQ58911410 ScholiaQ58911410MaRDI QIDQ1954637

Xuesong Guo, Zhengwei Zhu, Jia Shi

Publication date: 11 June 2013

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/302624

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to actuarial sciences and financial mathematics (62P05) Credit risk (91G40) Multivariate analysis and fuzziness (62H86)

Related Items (1)

Automated Credit Rating Prediction in a competitive framework

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• Support vector data description
• Kernelized fuzzy attribute C-means clustering algorithm
• Domain described support vector classifier for multi-classification problems
• Bankruptcy prediction in banks and firms via statistical and intelligent techniques -- a review
• Support vector machines for default prediction of SMEs based on technology credit
• A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach
• Application of SVM and ANN for image retrieval
• Low resolution face recognition based on support vector data description
• Adaptive credit scoring with kernel learning methods
• Fuzzy sets

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