Fuzzy approach based money laundering risk assessment

DOI

10.2991/eusflat-19.2019.84How to use a DOI?

Keywords

money laundering risk aggregation operators maximum t-conorm Lukasiewicz t-conorm

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 Łukasiewicz t-conorm. Practical example is provided for calculation of consolidated client money laundering risk score.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Maris Krastins
PY  - 2019/08
DA  - 2019/08
TI  - Fuzzy approach based money laundering risk assessment
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 610
EP  - 613
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.84
DO  - 10.2991/eusflat-19.2019.84
ID  - Krastins2019/08
ER  -