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A selection method of ETF's credit risk evaluation indicators

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008) 5102 LNCS(PART 2) 459-465
DOI: 10.1007/978-3-540-69387-1_52
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Abstract

This work applied data analysis method of attribute reduction to the credit risk evaluation indicators selection of the emerging technical firms (ETF), and constructed the ETF's credit risk evaluation indicators system. Furthermore, the utilization the distinct matrix method was carried out the confirmation to the reduction result. Finally the 7 ETF's data was used to carry out the analysis in the western of China by attribute reduction and their core attribute was obtained. © 2008 Springer-Verlag Berlin Heidelberg.

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Zhang, Y., Zhou, Z., & Shi, Y. (2008). A selection method of ETF’s credit risk evaluation indicators. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5102 LNCS, pp. 459–465). https://doi.org/10.1007/978-3-540-69387-1_52

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