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

Viktor Dengov; Irina Tulyakova

doi:10.5593/SGEMSOCIAL2015/B22/S6.016

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

Кафедра экономической теории и экономической политики

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная

Аннотация

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.

Язык оригинала	английский
Название основной публикации	2nd International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2015
Издатель	STEF92 Technology Ltd.
Число страниц	8
ISBN (печатное издание)	9786197105476
DOI	https://doi.org/10.5593/SGEMSOCIAL2015/B22/S6.016
Состояние	Опубликовано - 2015

Доступ к документу

10.5593/SGEMSOCIAL2015/B22/S6.016

http://www.sgemsocial.org

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title = "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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CREDIT RISK ANALYSIS FOR THE TELECOMMUNICATION COMPANIES OF RUSSIA: FUZZY MODEL. COMPARISON OF THE RESULTS. / Dengov, Viktor ; Tulyakova, Irina.

2nd International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2015. STEF92 Technology Ltd., 2015.

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная

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