CBR case retrieval model research in business financial distress warning based on gray relation

Author

Shen Qi ; Chen Aiping

Author_Institution

Jiangsu Inf. Anal. Eng. Lab., Nanjing, China

fYear

2012

fDate

3-5 June 2012

Firstpage

459

Lastpage

461

Abstract

Similar case retrieval ability is a key technology in CBR(Case Based Reasoning) system. In order to improve the case retrieval efficiency in business financial distress warning(FDW) system, a CBR case retrieval model based on gray relation was proposed, applying the gray relational analysis in case based reasoning for business FDW which improved the deficiency of distance measurement. Moreover, taking into account the different importance of case features in predicting financial distress, a weight vector was defined to solve the influence coming from nor-crucial features. Empirical results proves that this method can effectively improve the case retrieval efficiency of the target enterprise in business FDW system.

Keywords

business data processing; case-based reasoning; feature extraction; financial data processing; financial management; grey systems; information retrieval; CBR case retrieval model research; business FDW system; business financial distress warning; case based reasoning system; case features; case retrieval efficiency; distance measurement; enterprise; financial distress prediction; gray relational analysis; retrieval ability; weight vector; Analytical models; Artificial intelligence; Business; Cognition; Computers; Neural networks; Robots; Business financial distress warning; Case based reasoning; Case retrieval; Gray relation; K-nearest neighbors;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Applications (ISRA), 2012 IEEE Symposium on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4673-2205-8

Type

conf

DOI

10.1109/ISRA.2012.6219224

Filename

6219224