An empirical study of classification algorithm evaluation for financial risk predictionYi Peng, Guoxun Wang, Gang Kou, Yong Shi2010-12-08articleApplied Soft Computing189 citationsclosedNo readable copy stored yet — this record is metadata only.Financial Distress and Bankruptcy PredictionMulti-Criteria Decision MakingImbalanced Data Classification TechniquesAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 189 citations exist upstream.References1981Multiple Attribute Decision Making: Methods and Applications2003Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS2005Multiple Criteria Decision Analysis: State of the Art Surveys1981On The Quantitative Definition of Risk2011Multiple Attribute Decision Making: Methods and Applications1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1997Statistical Classification Methods in Consumer Credit Scoring: A Review2000Neural network credit scoring modelsCited by2011A simple method to improve the consistency ratio of the pair-wise comparison matrix in ANP2011Analytic network process in risk assessment and decision analysis2014INVESTMENT PRIORITIZING IN HIGH TECH INDUSTRIES BASED ON SWARA-COPRAS APPROACH2014VIKOR and its Applications2020A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees2015An analytical solution to fuzzy TOPSIS and its application in personnel selection for knowledge-intensive enterprise2020Multi-class misclassification cost matrix for credit ratings in peer-to-peer lending2021A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment