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

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

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.
Original languageEnglish
Title of host publication2nd International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2015
PublisherSTEF92 Technology Ltd.
Number of pages8
ISBN (Print)9786197105476
DOIs
StatePublished - 2015

Keywords

  • THEORY OF FUZZY SETS
  • LINGUISTIC VARIABLES
  • DECISION MAKER
  • UNCERTAINTY

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