Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/188691 
Year of Publication: 
2015
Citation: 
[Journal:] Journal of Industrial Engineering and Management (JIEM) [ISSN:] 2013-0953 [Volume:] 8 [Issue:] 2 [Publisher:] OmniaScience [Place:] Barcelona [Year:] 2015 [Pages:] 435-452
Publisher: 
OmniaScience, Barcelona
Abstract: 
Purpose: The goal of this study was to propose the multi-agent mechanism to forecast the corporate financial distress. Design/methodology/approach: This study utilized numerous methods, namely random subspace method, discriminant analysis and decision tree to construct the multi-agent forecasting model. Findings and Originality/value: The study shows a superior forecasting performance. Originality/value: The use of multi-agent model to predict the corporate financial distress.
Subjects: 
hybrid model
multi-agent mechanism
financial distress
intangible assets
risk management
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article

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