A Multi-Objective Bayesian Approach with Dynamic Optimization (MOBADO). A Hybrid of Decision Theory and Machine Learning Applied to Customs Fraud Control in Spain

A Multi-Objective Bayesian Approach with Dynamic Optimization (MOBADO). A Hybrid of Decision Theory and Machine Learning Applied to Customs Fraud Control in Spain

This paper studies the economically significant problem of the optimization of customs fraud control, which is a critical issue for many countries. The European Union (EU) alone handles 4693 tons of goods every minute (2018 figures). Even though 70% of goods are imported at zero tariff, the EU raise...

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Bibliographic Details
Main Authors: Ignacio González García, Alfonso Mateos Caballero
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Mathematics
Subjects:
optimization
Bayes
customs
fraud
decision theory
machine learning
Online Access:https://www.mdpi.com/2227-7390/9/13/1529

Internet

https://www.mdpi.com/2227-7390/9/13/1529

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