Oleh Dmytrenko, Dmitry Lande, Oleh Andriichuk
Method for Searching of an Optimal Scenario of Impact in Cognitive Maps During Information Operations Recognition
// Advances in Intelligent Systems and Computing 1019. Springer Nature Switzerland AG 2020. - pp. 192-193. ISBN 978-3-030-25740-8, ISSN 2194-5357. DOI: 10.1007/978-3-030-25741-5
 

Abstract. 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.
Keywords:
Cognitive map  Optimal scenario of impact  Pareto principle  Algorithm of accumulative impact  Force of impact  Rank distribution  Information operation recognition

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