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CREDIT RISK ANALYSIS FOR THE TELECOMMUNICATION COMPANIES OF RUSSIA: FUZZY MODEL. COMPARISON OF THE RESULTS
Abstract
In this article for the credit risk estimation according to the chosen ratios, we used the model, created upon the theory of fuzzy sets, or in other words – a linguistic model. Under certain conditions, it can have several advantages over the statistic model. In the case of the credit risk estimation for the Russian telecommunication companies, it provided the results that are, in our opinion, more reliable. On the final stage of the research, we carried out the comparison of the results obtained by using both models.
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