Locating Hidden Sources in Evolutionary Games Based on Fuzzy Cognitive Map

How to identify the enemy's hidden military power based on limited information is a great challenge in a military confrontation. A military confrontation environment can be naturally modeled as a complex system. Fuzzy cognitive map inherits the main characteristics of fuzzy logic and neural network. Thus, it is widely used to model complex systems and get a weighted directed network from existing data. In terms of great succuss of fuzzy cognitive map for modeling and analyzing complex systems, a hidden node localization strategy is proposed. This algorithm can measure the anomalies between fuzzy cognitive maps obtained from different data segments. The experimental results showed the our approach could effectively identify the enemy's hidden military power from the observed data. In several case studies, the influence of various parameters on the accuracy of positioning is analyzed through experiments. The framework for detecting hidden nodes is expected to be successfully applied in many fields.

Automated summary

This article proposes a method using fuzzy cognitive map technique to identify the enemy's hidden military power, and verifies its effectiveness through experiments. The algorithm locates hidden nodes by measuring the anomalies between fuzzy cognitive maps obtained from different data segments.