Method for Searching of an Optimal Scenario of Impact in Cognitive Maps during Information Operations Recognition
This work addresses a domain-specific problem in information operations recognition, presenting an incremental improvement over existing methods.
The paper tackles the problem of selecting an optimal impact scenario between nodes in cognitive maps for information operations recognition by introducing criteria for impact force and implementation speed, and applies a multi-criteria assessment using the Pareto principle to justify the choice, showing results and advantages over the Kosko model.
In this paper, we consider the problem of choosing the optimal scenario of the impact between nodes 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.