Development of a Fuzzy Logic System to Identify the Risk of Projects Financed from Structural Funds
Keywords:
Fuzzy Logic System (FLS), artificial intelligence, financial risk, structural funds, centroid methodAbstract
The fuzzy logic system developed in this research paper seeks to identify the financial risk of projects financed from structural funds when changes occur in project values, in the duration of the projects and in the implementation durations. Those two factors are known to influence the financial risk. The fuzzy system was simulated using Matlab and the results showed its operation and the conclusion that the financial risk of the project is dependent on the developments values and on the implementation duration. The developed and tested fuzzy logic system provides information on financial risk intensity organized into three categories: small, medium and large and on the inflection point of transition from low risk to high risk. This is considered an early warning system for the management staff with responsibilities in structural funds.
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