%0 Journal Article %A Rzayev , Ramin Rza ogly %A Aliyev , Aliaga Alekper Ogly %D 2017 %I Begell House %K natural persons creditworthiness, estimates, fuzzy logic, conditions of uncertainty, aggregating, key indicators assessments, rankings of declared borrowers %N 2 %P 70-84 %R 10.1615/JAutomatInfScien.v49.i2.70 %T Estimation of Credit Borrowers Solvency Using Fuzzy Logic %U https://www.dl.begellhouse.com/journals/2b6239406278e43e,5bdc44c95254b2ed,547a2a041e7c64e3.html %V 49 %X An alternative approach to assessing the creditworthiness of natural persons is proposed, based on the use of fuzzy decision-making methods in conditions of uncertainty. As an alternative, arbitrarily five borrowers are chosen, which differ in their data on key indicators of solvency. After obtained results of calculation by two methods there are implemented rankings of declared borrowers and identified the most solvent of them. %8 2017-05-02