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 Vasile Palade, Robert J. Howlett & L. C. Jain (eds.) (ed.) Lecture Notes in Computer Science, Volume 2773, Springer-Verlag, Berlin, Heidelberg, Germany, pp. 1075-1080.


Document type: Book Chapter
Collection: Book Chapters

Title A case-based reasoning approach to business failure prediction
Author(s) Yip, A
Deng, H
Year 2003
Title of book Lecture Notes in Computer Science, Volume 2773
Publisher Springer-Verlag, Berlin
Place of publication Heidelberg, Germany
Editor(s) Vasile Palade, Robert J. Howlett & L. C. Jain (eds.)
Start page 1075
End page 1080
Subjects Information Systems Theory
Summary 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 neighbour assessment. To avoid the inconsistency of subjective preferences of human experts, induction is used to find the relevancy of the attributes for nearest neighbour 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.
Copyright notice © Springer-Verlag Berlin Heidelberg 2003
ISBN 9783540408031
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