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ArticleNeighborhood rough set and SVM based hybrid credit scoring classifier

Lu Yongheng2011

Article2011

Neighborhood rough set and SVM based hybrid credit scoring classifier

98 citations·0/0 files stored·Expert Systems with Applications

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Financial Distress and Bankruptcy Prediction Rough Sets and Fuzzy Logic Imbalanced Data Classification Techniques

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References

2000Neural network credit scoring models 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers 2002Credit scoring using the hybrid neural discriminant technique 1987Multivariate Normality and Forecasting of Business Bankruptcy 1999Financial credit-risk evaluation with neural and neurofuzzy systems 2003Credit scoring and rejected instances reassigning through evolutionary computation techniques 2005Hybrid mining approach in the design of credit scoring models 1983An Examination of the Conceptual Issues Involved in Developing Credit-Scoring Models

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2022A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain 2014An insight into the experimental design for credit risk and corporate bankruptcy prediction systems 2019A novel hybrid credit scoring model based on ensemble feature selection and multilayer ensemble classification 2023Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods

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Year2011

Typearticle

Published2011-03-16

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations98

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.eswa.2011.02.179

openalex_workW1995254696

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2016

Classification methods applied to credit scoring: Systematic review and overall comparison

2013Balancing accuracy, complexity and interpretability in consumer credit decision making: A C-TOPSIS classification approach

2018Hybrid credit scoring model using neighborhood rough set and multi-layer ensemble classification

2018Credit Scoring Model based on Weighted Voting and Cluster based Feature Selection