Fuzzy approach based money laundering risk assessment

Abstract

This paper introduces solution for numeric evaluation of money laundering risk containing several different risk factors. For this purpose we consider the options for aggregation of risk factors and obtaining consolidated risk level. The proposed models are constructed using maximum t-conorm and Lukasiewicz t-conorm. Practical example is provided for calculation of consolidated client money laundering risk score.