Algorithms for solutions inference based on unified logical control models / Litvinenko. (2020)
Ukrainian

English  Cybernetics and Systems Analysis   /     Issue (2020, 56 (2))

Litvinenko A.
Algorithms for solutions inference based on unified logical control models

Unified forms of knowledge representation models in expert control systems are proposed. It is proved that at quantitative measurement of the characteristics of the state of the controlled object, the problem of deriving a managerial solution is reduced to the investigation of a combinatorial optimization problem with a linear structure and two-sided inequality constraints. An algorithm for solving such problems is given, which implements the idea of directional selection of variants. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: algorithms, control, expert systems, inference of decisions, logical models, optimization, Combinatorial optimization, Constraint theory, Knowledge representation, Algorithm for solving, Combinatorial optimization problems, Controlled objects, Directional selection, Expert control system, Inequality constraint, Linear structures, Quantitative measurement, Inference engines


Cite:
Litvinenko A. (2020). Algorithms for solutions inference based on unified logical control models. Cybernetics and Systems Analysis, 56 (2), 21–30. doi: https://doi.org/10.1007/s10559-020-00234-9 http://jnas.nbuv.gov.ua/article/UJRN-0001103868 [In Russian].


 

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