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A fuzzy hybrid system for supporting financial analysis
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/2676
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| Title: | A fuzzy hybrid system for supporting financial analysis |
| Authors: | Pacheco, Roberto
Martins, Alejandro
Weber-Lee, Rosina
Barcia, Ricardo |
| Issue Date: | 11-Nov-1996 |
| Citation: | Paper presented at the Third Congress of the International Association for Fuzzy-Set Management and Economics, Buenos Aires, Argentina. |
| Abstract: | The correct perception of the financial condition of a firm is
dependent upon the quality of its information processing system and upon
the analyst’s expertise. The more complex the financial environment, the
more difficult is the identification of problematic situations. Monitoring
and correcting inappropriate conditions become critical tasks, particularly
to small and medium companies, where the presence of an expert is not
affordable. For such companies, it is of great value to have a system
available capable of spotting the condition and suggesting alternative
actions to control anomalies. We have developed a hybrid intelligent
system with such features. It is composed of two modules: the first one
identifies the financial condition and the second one suggests possible
actions to be taken in order to revert the deviations. Particularly in the
second module, we have identified two facts in the knowledge acquisition
process: first, solving a financial problem, once its type is known, is a
deductive task, in the sense that it is accomplished by comparing facts
with associated patterns. Second, linguistic terms such as “high reduction
of inventory” and “low interest” were constantly used to describe actions
to be taken or information about the economy in a certain time. These two
features lead to the development of a fuzzy expert system capable of
indicating operational actions to control problematic financial situations.
In this article we detail the fuzzy financial advising system module. |
| URI: | http://hdl.handle.net/1860/2676 |
| Appears in Collections: | Faculty Research and Publications (IST)
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