An improved fuzzy support vector machine for credit rating

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4672 LNCS, Issue , 2007, Pages 495-505

  Yanyou, Hao ^a,b   Zhongxian, Chi ^a   Deqin, Yan ^c   Xun, Yue ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b Dalian Branch of China Netcom   (China)

^c LIAONING NORMAL UNIVERSITY   (China)

Author keywords

Credit rating; Fuzzy membership; Fuzzy support vector machine (FSVM); Vague sets

Indexed keywords

INPUT OUTPUT PROGRAMS; MEMBERSHIP FUNCTIONS;

CREDIT RATING; FUZZY MEMBERSHIP; FUZZY SUPPORT VECTOR MACHINE (FSVM); VAGUE SETS;

FUZZY SETS;

EID: 38149062797     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (14)

1. Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, New York (1995)
2. Cortes, C., Vapnik, V.N.: Support vector networks. Machine Learning 20, 273-297 (1995)
3. Burges, C.: A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2(2) (1998)
4. Huang, Z., Chen, H.: Credit rating analysis with support vector machines and neural networks: a market comparative study. Decision Support Systems 37, 543-558 (2004)
5. Lin, C.-F., Wang, S.-D.: Fuzzy Support Vector Machines. IEEE Transactions on Neural Networks 2, 464-471 (2002)
6. Huang, H.P., Liu, Y.H.: Fuzzy Support Vector Machines for Pattern Recognition and Data Mining. International Journal of Fuzzy Systems 4, 826-835 (2002)
7. Zhang, X.: Using class-center vectors to build support vector machines. In: Proc. IEEE NNSP'99, pp. 3-11(1999)
8. Wang, Y.-Q., Wang, S.-Y., Lai, K.K.: A New Fuzzy Support Vector Machine to Evaluate Credit Risk. IEEE Trans. On Fuzzy Systems 13(6) (2005)
9. Lin, C.-F., Wang, S.-D.: Training algorithms for fuzzy support vector machines with noisy data. In: IEEE XIII Workshop on Neural Networks for Signal Processing, pp. 517-526 (2003)
10. Zadeh, L.A.: Fuzzy sets. Information and Control 8(3), 338-353 (1965)
11. Gau, W.-L., Buehrer, D.J.: Vague sets. IEEE Transactions on Systems, Man and Cybernetics 23(2), 610-614 (1993)
12. Lu, A., Ng, W.: Vague Sets or Intuitionistic Fuzzy Sets for Handling Vague Data: Which One Is Better? In: Delcambre, L.M.L., Kop, C., Mayr, H.C., Mylopoulos, J., Pastor, Ó. (eds.) ER 2005. LNCS, vol. 3716, pp. 401-416. Springer, Heidelberg (2005)
13. Drucker, H., Wu, D., Vapnik, V.: Support Vector Machines for Spam Categorization. IEEE Transactions on Neural Networks 10(5) (1999)
14. The People's Bank of China, Guidelines on Risk-Based Loan Classification (2001), http://www.pbc. gov.cn/english//detail.asp?col=6800&ID=46