A corporate credit rating model using support vector domain combined with fuzzy clustering algorithm
From MaRDI portal
Publication:1954637
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
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)
Uses Software
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
This page was built for publication: A corporate credit rating model using support vector domain combined with fuzzy clustering algorithm