Abstract: This article contains the results of research in field of rating processes of insurance companies, in particular the analysis of existing policies and developing of an effective approach to the selection of insurance partners by commercial banks in order to improve profitability and financial reliability of banks on the basis of economic and mathematical modeling. Analysis of the results of the experiments provided an opportunity to detect in consistencies of traditional approaches to real conditions of functioning of banks and insurance companies. The suggested approach, which is based on the principles of neuro-fuzzy modeling and expert methods, combines scenario calculations with considering qualitative and quantitative indicators, experts’ knowledge in the subject area. It allows to reach a topological ordering of objects, defining clusters and analysing the dynamics of development of insurers. Approbation of the models performed on data of insurers, which was working in Ukraine in 2008-2012. It helped to confirm the effectiveness of mathematical tools for getting adequate ratings of insurance companies