TY - GEN

T1 - CREDIT RISK ANALYSIS FOR THE TELECOMMUNICATION COMPANIES OF RUSSIA: FUZZY MODEL. COMPARISON OF THE RESULTS

AU - Dengov, Viktor

AU - Tulyakova, Irina

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - THEORY OF FUZZY SETS

KW - LINGUISTIC VARIABLES

KW - DECISION MAKER

KW - UNCERTAINTY

U2 - 10.5593/SGEMSOCIAL2015/B22/S6.016

DO - 10.5593/SGEMSOCIAL2015/B22/S6.016

M3 - Conference contribution

SN - 9786197105476

BT - 2nd International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2015

PB - STEF92 Technology Ltd.

ER -