A Neurofuzzy Model for Predicting Business Bankruptcy

A. H. Boussabaine and M. Wanous
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A. H. Boussabaine: School of Architecture & Building Engineering, The University of Liverpool, Liverpool, L69, 3BX, U.K.
M. Wanous: School of Architecture & Building Engineering, The University of Liverpool, Liverpool, L69, 3BX, U.K.

Chapter 4 in Business Applications of Neural Networks:The State-of-the-Art of Real-World Applications, 2000, pp 55-72 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThe following sections are included:IntroductionMethods for modelling business bankruptcyTraditional methodsArtificial intelligenceData selectionNeurofuzzy modelling of business bankruptcyStructure of the modelResults and discussionEvaluationConclusionReferencesAppendix

Keywords: Artificial Neural Networks; Rule Extraction; Segmentation; Credit Card Fraud; Customer Profiling; Bankruptcy Prediction; Risk Assessment; Money Laundering (search for similar items in EconPapers)
Date: 2000
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