Methodology of modeling the volumes of shadow economy with the use of neural-fuzzy technologies
Journal Title: Економіка. Фінанси. Право - Year 2017, Vol 10, Issue
Abstract
The theoretical analysis of the methodology modeling the volumes of the shadow economy using fuzzy logic is carried out in the article. A critical evaluation of the methods of Sugeno and Mamdani is given. The advantages of the neural-fuzzy approach as a promising and effective tool for modeling and forecasting the volumes of the shadow economy are substantiated.
Authors and Affiliations
Vitalii Samsonovych Reikin
Keywords
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