Abstract
Classification refers to a set of methods that predict the class of an object from attributes or features describing the object. In this paper we present a fuzzy classification algorithm to predict bankruptcy. Our classification algorithm is modified from a subspace clustering algorithm called fuzzy subspace clustering (FSC). As our algorithm associates each feature of a class with a fuzzy membership, feature selection is not necessary. Our experiments show that the classification results produced by our algorithm can translate into large financial and other benefits to organizations through such activities as credit approval, and loan portfolio and security management.
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References
Balcean, S., Ooghe, H.: 35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems. The British Accounting Review 38(1), 63–93 (2006)
Beaver, W.: Financial ratios predictors of failure. Empirical research in accounting: selected studies 1966. Journal of Accounting Research (Suppl. 4), 71–111 (1967)
Gan, G., Wu, J., Yang, Z.: A fuzzy subspace algorithm for clustering high dimensional data. In: Li, X., Zaïane, O.R., Li, Z. (eds.) ADMA 2006. LNCS (LNAI), vol. 4093, pp. 271–278. Springer, Heidelberg (2006)
Gordon, A.: A review of hierarchical classification. Journal of the Royal Statistical Society. Series A (General) 150(2), 119–137 (1987)
Jain, A., Murty, M., Flynn, P.: Data clustering: A review. ACM Computing Surveys 31(3), 264–323 (1999)
Jain, A., Duin, R.P.W., Mao, J.: Statistical pattern recognition: a review. IEEE Transactions on Pattern Analysis and Machine Intelligence 322(1), 4–37 (2000)
Kulkarni, S.R., Lugosi, G., Venkatesh, S.S.: Learning pattern classification-a survey. IEEE Transactions on Information Theory 44(6), 2178–2206 (1998)
Ravi Kumar, P., Ravi, V.: Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review. European Journal of Operational Research 180(1), 1–28 (2007)
Min, J.H., Lee, Y.C.: Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters. Expert Systems With Applications 28(4), 603–614 (2005)
Tsakonas, A., Dounias, G., Doumpos, M., Zopounidis, C.: Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming. Expert Systems With Applications 30(3), 449–461 (2006)
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Yang, Z., Gan, G. (2008). Application of Fuzzy Classification in Bankruptcy Prediction. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_113
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DOI: https://doi.org/10.1007/978-3-540-87442-3_113
Publisher Name: Springer, Berlin, Heidelberg
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