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Industrial Automatic Control Systems and Controllers

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Formation of a Generalized Structure of Fuzzy Logical Inference When Processing Heterogeneous Information of the Decision Support Subsystem of a Problem-Oriented Aviation Information Support Management System
Yu.Yu. Gromov, A.N. Potapov, A.L. Nachalov

When considering the process of decision development and making (DDM) when processing heterogeneous information of the decision support subsystem in fuzzy conditions, optimization of fuzzy logical inference is possible through a logical circuit, the most important feature of which is symmetry with respect to goals and restrictions. Symmetry eliminates the differences between goals and constraints and makes it quite easy to formulate a solution based on them. It is also proposed to optimize fuzzy logical inference by observing the principle of hierarchy. Based on the optimization of fuzzy logical inference, its generalized structure was formed when processing heterogeneous information of the decision support subsystem of a problem-oriented aviation information management system.
Keywords: information, knowledge, management, model, structure, formalization, system relations.


DOI: 10.25791/asu.9.2023.1460

Pp. 39-46.

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