A case-based reasoning approach to business failure prediction

Yip, A and Deng, H 2003, 'A case-based reasoning approach to business failure prediction', in V. Palade, R. Howlett and L. Jain (ed.) Knowledge-Based Intelligent Information and Engineering Systems: 7th International Conference KES 2003 - Proceedings (Part I), Oxford, United Kingdom, 3-5 September 2003, pp. 1075-1080.


Document type: Conference Paper
Collection: Conference Papers

Title A case-based reasoning approach to business failure prediction
Author(s) Yip, A
Deng, H
Year 2003
Conference name Knowledge-Based Intelligent Information and Engineering Systems: 7th International Conference KES 2003
Conference location Oxford, United Kingdom
Conference dates 3-5 September 2003
Proceedings title Knowledge-Based Intelligent Information and Engineering Systems: 7th International Conference KES 2003 - Proceedings (Part I)
Editor(s) V. Palade
R. Howlett
L. Jain
Publisher Springer
Place of publication Germany
Start page 1075
End page 1080
Abstract Tremendous efforts are spent and numerous approaches are developed for predicting business failures. However, none of the existing approaches is dominant with respect to the accuracy and reliability of the prediction outcome. Contradictory prediction results are often present when different approaches are used. Also, explanation and justification of a prediction is often neglected. This paper reviews different approaches and presents a framework of a case-based reasoning (CBR) approach to business failure prediction by integrating two techniques, namely nearest neighbor and induction. It is unrealistic to assume that all attributes are equally important in the similarity function of nearest neighbor assessment. To avoid the inconsistency of subjective preferences of human experts, induction is used to find the relevancy of the attributes for nearest neighbor assessment in the case matching process. The approach is expected to provide an accurate prediction with justification, which is useful and beneficial to stakeholders of the companies.
Subjects Information Systems Theory
DOI - identifier 10.1007/b12002
Copyright notice © Springer-Verlag Berlin Heidelberg 2003
ISBN 978-3-540-40803-1
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