Functional integration of automated system databases by means of artificial intelligence

Volodymyr M. Dubovoi, Olena D. Nikitenko, Maksat Kalimoldayev, Andrzej Kotyra, Konrad Gromaszek, Aigul Iskakova

2017

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DOI 10.1117/12.2280988
Data confidence 70 medium
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Abstract

The paper presents approaches for functional integration of automated system databases by means of artificial intelligence. The peculiarities of turning to account the database in the systems with the usage of a fuzzy implementation of functions were analyzed. Requirements for the normalization of such databases were defined. The question of data equivalence in conditions of uncertainty and collisions in the presence of the databases functional integration is considered and the model to reveal their possible occurrence is devised. The paper also presents evaluation method of standardization of integrated database normalization.