A.A. Vetoshkin1, N.S. Grunin2, A.A. Taxtamy’sheva3, E.Yu. Nosova4,  A.N. Nardid5, K.S. Myshenkov6

1–6 Bauman Moscow State Technical University (Moscow, Russia)

Metagraph data model is a modern universal tool for describing complex subject areas. Fuzzy logical inference is a powerful decisionmaking mechanism in the field of artificial intelligence. The task of integrating a data model and a decision-making mechanism for improving the quality of intelligent systems based on the metagraph approach is relevant.

Goal. The goal of the work is to integrate the metagraph model of data and knowledge with fuzzy logic inference algorithms.

Results. In the article the results of integration of metagraph model of data and knowledge with algorithms of fuzzy logical inference are reviewed. The implementation of fuzzy logical inference in the programming language Rust is considered in detail. The example of description of fuzzy logical inference on the data set of the curriculum of the department is given.

Practical meaning. Adding the capabilities of fuzzy logical inference to the metagraph data model will improve the quality of intelligent systems based on the metagraph approach.

Vetoshkin A.A., Grunin N.S., Taxtamy’sheva A.A., Nosova E.Yu., Nardid A.N., Myshenkov K.S. Peculiarities of metagraph agents implementation based on fuzzy logical inference. Dynamics of complex systems. 2023. V. 17. № 3. P. 40−50. DOI: 10.18127/j19997493202303-06 (in Russian).

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