Opportunities to improve customs risk management system based on fuzzy logic
Abstract
Opportunities to improve customs risk management system based on fuzzy logic
Incoming article date: 22.11.2018The risk management system of the Federal customs service of the Russian Federation needs to be improved - first of all the technology to identify the category of risk level of foreign trade activities participants in the framework of the risk categorization. When assessing the level of risk of participants in foreign economic activity, it is advisable to base the definition of the risk category on a set of heuristic rules reflecting the experience gained by customs officials and the ambiguity (blurring) of the initial data. The purpose of the study is to determine the possibility of improving the system of customs risk management by creating a fuzzy model of risk classification of traders. A prototype of fuzzy model (Mamdani algorithm) for determining the level of risk of of foreign economic activity participants, developed in the environment of Fuzzy Logic Toolbox Matlab package, is presented. Recommendations on the creation of a full-fledged model of risk categorization of traders are formulated.
Keywords: risk management system, categorization, risk level, foreign economic activity participant, fuzzy logic, fuzzy model