Aggregating multiple classification results using Choquet integral for financial distress early warning

Expert Systems with Applications

Volumn 39, Issue 2, 2012, Pages 1830-1836

  Cao, Yu ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Choquet integral; Early warning; Empirical risk; Financial distress; Fuzzy measure

Indexed keywords

CHOQUET INTEGRAL; EARLY WARNING; EMPIRICAL RISKS; FINANCIAL DISTRESS; FUZZY MEASURES;

FINANCE; FORECASTING; FUZZY SYSTEMS; PATTERN RECOGNITION;

INTEGRAL EQUATIONS;

EID: 80054888502     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.08.067     Document Type: Conference Paper

References (49)

1. E.I. Altman Financial ratios, discriminant analysis and the prediction of corporate bankruptcy Journal of Finance 23 9 1968 589 609
2. W. Beaver Alternative accounting measures as predictors of failure The Accounting Review 1 1 1968 113 122
3. L. Bei, and L. Liang Empirical study on financial future prediction of listed companies Chinese Business Review 4 5 2005 74 78
4. W. Chen, and Y. Du Using neural networks and data mining techniques for the financial distress prediction model Expert System with Application 36 2009 4075 4086
5. L.-H. Chen, and H.D. Hsiao Feature selection to diagnose a business crisis by using a real GA-based support vector machine: An empirical study Expert Systems with Applications 35 2008 1145 1155
6. C.C. Chibelushi, F. Deravi, and J.S.D. Mason Adaptive classifier integration for robust pattern recognition IEEE Transactions on SMC - Part B: Cybernetics 29 6 1999 902 907 (Pubitemid 32211626)
7. H.K. Chiou, and G.H. Tzeng Fuzzy multicriteria decision-making approach to analysis and evaluation of green engineering for industry Environmental Management 30 6 2002 816 830
8. S. Cho, H. Hong, and B.C. Ha A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance. For bankruptcy prediction Expert Systems with Applications 37 4 2010 3482 3488
9. G. Choquet Theory of capacities Annales de l'Institut Fourier 5 1953 131 295
10. G. Cybenko Approximation by superpositions of a sigmoidal function Mathematics of Control, Signals, and Systems (MCSS) 2 4 1989 303 314
11. Y. Ding, X. Song, and Y. Zen Forecasting financial condition of Chinese listed companies based on support vector machine Expert Systems with Applications 34 2008 3081 3089 (Pubitemid 351173811)
12. T.V. Gestel, B. Baesens, and A.K. Johan Suykens, Bayesian kernel based classification for financial distress detection European Journal of Operational Research 172 3 2005 979 1003
13. Höhle, U. (1982). Integration with respect to fuzzy measures. In Proceedings of the IFAC symposium on theory and application of digital control, New Delhi, India (pp. 35-37).
14. Z. Hua, Y. Wang, X. Wang, B. Zhang, and L. Liang Predicting corporate financial distress based on integration of support vector machine and logistic regression Expert Systems with Applications 33 2007 434 440 (Pubitemid 46150047)
15. X.F. Hui, and J. Sun An application of support vector machine to companies' financial distress prediction Lecture Notes in Artificial Intelligence 3885 2006 274 282 (Pubitemid 43990496)
16. C. Hung, and J.H. Chen A selective ensemble based on expected probabilities for bankruptcy prediction Expert Systems with Applications 36 3 2009 5297 5303
17. H. Jo, I. Han, and H. Lee Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis Expert Systems with Applications 13 2 1997 97 108 (Pubitemid 127400547)
18. E. Kim, W. Kim, and Y. Lee Combination of multiple classifiers for the customer's purchase behavior prediction Decision Support Systems 34 2002 167 175
19. P.R. Kumar, and V. Ravi Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review European Journal of Operational Research 180 4 2007 1 28 (Pubitemid 46123864)
20. L.I Kuncheva Fuzzy classifier design 2000 Physica-Verlag Heidelberg
21. L.I. Kuncheva Diversity in multiple classifier systems Information Fusion 6 2005 3 4
22. A.H.L. Lau A five-state financial distress prediction mode Journal of Accounting Research 25 4 1987 27 138
23. Li, X. F.; Feng, H. M.; Huang, D. M.; Jia, L.; Liu, F. T.; & Zhang, B. (2005). Some aspects of classifier fusion based on fuzzy integrals. In Proceedings of the fourth international conference on machine learning and cybernetics, Guangzhou, 18-21 August.
24. H. Li, J. Sun, and B.L. Sun Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors Expert Systems with Applications 36 2009 643 659
25. J.H. Min, and Y.C. Lee Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters Expert Systems with Applications 28 4 2005 128 134
26. T. Murofushi, and M. Sugeno An interpretation of fuzzy measure and the Choquet integral as an integral with respect to a fuzzy measure Fuzzy Sets and Systems 29 1989 201 227
27. T. Murofushi, and M. Sugeno A theory of fuzzy measures-representations, the Choquet integral, and null sets Journal of Mathematical Analysis and Applications 159 2 1991 532 549
28. Y. Narukawa, and V. Torra Fuzzy measures and integrals in evaluation of strategies Information Sciences 177 2007 4686 4695 (Pubitemid 47238790)
29. J. Ohlson Financial ratio and the probabilistic prediction of bankruptcy Journal of Accounting Research 18 1 1980 109 131
30. E. Rahimian, S. Singh, T. Thammachote, and R. Virmani Bankruptcy prediction by neural networks E. Trippi, E. Turban, Neural networks in finance and investing: Using artificial intelligence to improve real-world performance 1993 Probus Publishing Chicago 159 176
31. D. Ruta, and B. Gabrys Classifier selection for majority voting Information Fusion 6 2005 63 81
32. L.M. Salchengerger, E.M. Cinar, and N.A. Lash Neural networks: A new tool for prediction thrift failures Decision Sciences 23 1992 899 916
33. R. Sharda, and R.L. Wilson Neural networks experiments in business-failure forecasting: Predictive performance measurement issues International Journal of Computational Intelligence and Organizations 1 2 1996 107 117
34. Sugeno, M. (1974). Theory of fuzzy integral and its application. Doctorial dissertation, Tokyo Institute of Technology.
35. J. Sun, and X.F. Hui Financial distress prediction based on similarity weighted voting CBR Lecture Notes in Artificial Intelligence 4093 2006 947 958 (Pubitemid 44503239)
36. J. Sun, and H. Li Data mining method for listed companies' financial distress prediction Knowledge-Based Systems 21 1 2008 1 5
37. J. Sun, and H. Li Financial distress prediction based on serial combination of multiple classifiers Expert Systems with Applications 36 2009 8659 8666
38. K.S. Tae, C. Namisik, and L. Gunhee Dynamics of modeling data mining: interpretive approach to bankruptcy prediction Journal of Management Information Systems 1 1999 63 85
39. L. Todorovski, and S. Dzeroski Combining classifiers with Meta decision trees Machine Learning 50 2003 223 249
40. C.F. Tsai, and J.W. Wu Using neural network ensembles for bankruptcy prediction and credit scoring Expert Systems with Applications 34 2008 2639 2649
41. A. Verikas, and A. Lipnickas Fusing neural networks through space partitioning and fuzzy integration Neural Processing Letters 16 2002 53 65 (Pubitemid 35011804)
42. J. Wang, and Z. Wang Using neural networks to determine Sugeno measures by statistics Neural Networks 10 1 1997 183 195 (Pubitemid 27086455)
43. R.L. Wilson, and R. Sharda Bankruptcy prediction using neural networks Decision Support Systems 11 1994 545 557
44. D. Wu, Z. Yang, and L. Liang Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank Expert Systems with Applications 31 1 2006 108 115 (Pubitemid 43344267)
45. Z. Xiao, S.J. Ye, B. Zhong, and C.X. Sun BP neural network with rough set for short term load forecasting Expert Systems with Applications 2009 36 2009 273 279
46. B.A. Yang, L.X. Li, H. Ji, and J. Xu An early warning system for loan risk assessment using artificial neural networks Knowledge-Based Systems 14 5-6 2001 303 306 (Pubitemid 32707396)
47. C.-C. Yeh A hybrid approach of DEA, rough set and support vector machines for business failure prediction Expert Systems with Applications 2009 1 7
48. A. Yip, and H. Deng A case-based reasoning approach to business failure prediction Lecture Notes in Computer Science 2773 2003 1075 1080 (Pubitemid 37230789)
49. G. Zhang, M.Y. Hu, B.E. Patuwo, and D.C. Indro Artificial neural networks in bankruptcy predictions: General framework and cross-validation analysis European Journal of Operational Research 116 1999 16 32