Oleh Dmytrenko, Dmitry Lande and Oleh Andriichuk
Method for Searching of an Optimal Scenario of Impact in Cognitive Maps During Information Operations Recognition
// Mathematical Modeling and Simulation of Systems (Selected Papers of 14th International Scientific-Practical Conference, MODS, 2019 June 24-26, Chernihiv, Ukraine) // Advances in Intelligent Systems and Computing Series Volume. - Vol. 1019. - Springer Nature Switzerland AG, 2020. - pp. 182-193. ISSN 978-3-030-25740-8. DOI: https://doi.org/10.1007/978-3-030-25741-5_19

In this paper, we consider cognitive maps as an additional tool for building a knowledge base of the DSS. Here we present the problem of choosing the optimal scenario of the impact between nodes in the cognitive maps based on of the introduced criteria for the optimality of the impact. Two criteria for the optimality of the impact, which are called the force of impact and the speed of implementation of the scenario, are considered. To obtain a unique solution of the problem, a multi-criterial assessment of the received scenarios using the Pareto principle was applied. Based on the criteria of a force of impact and the speed of implementation of the scenario, the choice of the optimal scenario of impact was justified. The results and advantages of the proposed approach in comparison with the Kosko model are presented. Also we calculate rank distribution of nodes according to the degree of their impact on each other to reveal key and the most influential components of the cognitive map that corresponds some subject domain.
Cognitive map, Optimal scenario of impact, Pareto principle, Algorithm of accumulative impact, Force of impact, Rank distribution, Information operation recognition