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A hybrid intelligent system to diagnose and indicate solutions to financial problems
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/2695
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| Title: | A hybrid intelligent system to diagnose and indicate solutions to financial problems |
| Authors: | Pacheco, Roberto
Martins, Alejandro
Weber, Rosina O.
Barcia, Ricardo M.
Khator, Suresh |
| Keywords: | Hybrid Systems
Neural Network
Expert System
Financial Ratio
Financial Analysis |
| Issue Date: | 4-Sep-1995 |
| Citation: | Paper presented at the First International Conference of Industrial Engineering (ENEGEP/95), San Carlos, Brazil. |
| Abstract: | Monitoring and adjusting financial health problems play central role in the firm’s performance.
Usually, small firms face difficulties in these tasks for lacking human resources and incapacity
to afford a consultant. By analyzing the nature of the diagnosis and the solution of financial
problems one can identify two different reasoning: during the diagnosis phase, the process is
basically intuitive due to complex relations between financial ratios and problems; in the
solution phase, the analyst follows a deductive approach searching for the causes and
adjustments to the identified problem. Based on these aspects and on the motivation of
providing a computational system to aid small firms, we built a Hybrid Intelligent System to
diagnose (through Neural Network) and indicate solutions (through Expert System) to financial
problems. In this paper we discuss the nature of the problems and present the system. |
| URI: | http://hdl.handle.net/1860/2695 |
| Appears in Collections: | Faculty Research and Publications (IST)
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