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THE USE OF FUZZY LOGIC IN ESTIMATING THE RISK OF GRANTING OF A RENEWABLE CREDIT LIMIT (Zastosowanie logiki rozmytej do oceny ryzyka przyznania limitu odnawialnego)

100%
Konopka P.
Optimum. Studia Ekonomiczne
|
2010
|
issue 2 (46)
169-182
EN
In his article the author presents the model of risk assessment concerning granting of a renewable credit limit. For this purpose the notions of fuzzy set theory and fuzzy logic have been utilized. The presented model is based on two linguistic input variables being risk factors, and one linguistic variable describing the risk itself. Based on expert knowledge and assumptions concerning the credit policy of the bank, the analyst assigned relevant fuzzy sets to each variable and determined their limits. Having obtained in this way risk factors, one can construct the fuzzy rules base. In order to determine the fuzzy value describing the risk, defuzzyfication is used by means of the centre of gravity method. The final part of the paper presents a proposal to generalize the model utilizing a bigger number of risk factors and it indicates further possible research trends.
2

Ocena efektywności decyzji gospodarczych w warunkach ryzyka z wykorzystaniem rozmytej metody TOPSIS

75%
Roszkowska E.
Optimum. Studia Ekonomiczne
|
2012
|
issue 6(60)
3-19
EN
The paper investigates the possibility of applying the fuzzy TOPSIS method in economic decision making in the absence of precise estimation of risk parameters, partial information, and uncertain or imprecise data. The authors describe the concept of risk in economic decision making and review the methods of risk analysis. Presented are the theoretical foundations of fuzzy TOPSIS, particular calculation stages, and the application for efficiency evaluation of investment projects under conditions of risk. The numerical example uses NPV, IRR and PP indicators, and a linguistic variable describing risk. What makes this procedure valuable is the calculation simplicity as well as the easiness and clarity of interpretation of obtained results.
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