Identifying Methods to Combat Money Laundering and Prioritizing it with Hierarchical Analysis Approach

The aim of this research is to identify and prioritize the ways to fight money laundering. The statistical population is all the experts and specialists active in the field of money laundering in the Economic Security Police of the Police Force (especially the Anti-Smuggling Police and the Anti-Economic Crimes and Customs Police) throughout the country and the experts of the Anti-Money Laundering Supreme Council, that are around 150 people. The method of conducting the research is of applied in terms of purpose and descriptive-survey in terms of the method, and the data were collected by field method and questionnaire tool. The validity of the designed questionnaire has been confirmed by the opinions of respected professors and advisors, and its reliability has been confirmed by the inconsistency rate of less than 0.1. The data analysis method is hierarchical analysis. The result of calculating the and ranking shows that among the 6 identified methods of combating money laundering, reporting of suspicious transactions with a score of 0.2425 ranks first, complete identification of customers with a score of 0.2407 ranks second, initial identification of customers with a score of 0.2370 ranks third, reporting transactions by cash instruments ranks fourth with a score of 0.1200, recording information and events ranks fifth with a score of 0.0860, and adopting a risk-based approach ranks sixth with a score of 0.0739.