Determining the Risk Level in Client Analysis by Applying Fuzzy Logic in Insurance Sector

The aim of the paper is to determine risk level a contract extension with existing policyholders, which further propagated business effectiveness and long-term sustainability company. uncertainties in relative importance factors, their values, levels are described by linguistic forms, modeled using fuzzy sets theory. evaluations factors stated as group decision-making problem. weights obtained analytic hierarchy process. determination production rules for assessment based on IF-THAN rules. verification model performed real-life data originating from insurance company operates Republic Serbia.