FGCM-based Modeling Method of Intelligent Situation Awareness in Complex Battlefield

doi:10.12382/bgxb.2021.0259

Abstract

Abstract: An intelligent situation awareness modeling method based on fuzzy grey cognitive map (FGCM) is proposed the dynamic and uncertain characteristics of complex battlefield environment. Based on situation awareness theory，the situation elements are extracted by top-down task driven situation awareness method. The target threat assessment is taken as the modeling object of situation understanding， and the dynamic FGCM model of threat assessment is established by using the model characteristics of FGCM in uncertain data expression and reasoning，in which the external environment control node is introduced. The target intention prediction is taken as the modeling object of situation prediction on the basis of FGCM model structure established based on expert knowledge， and the particle swarm optimization is used to improve the parameter learning ability of intention prediction model for historical data samples. The simulated results show that the intelligent situation awareness modeling method based on FGCM can deal with the dynamic and uncertain battlefield environment better，and play a comprehensive role of knowledge and data in modeling.

Key words: situationawareness, threatassessment, intentionprediction, fuzzygreycognitivemap, particleswarmoptimization

CLC Number:

TP181
V279

CHEN Jun， ZHANG Yue， CHEN Xiaowei， TONG Yan. FGCM-based Modeling Method of Intelligent Situation Awareness in Complex Battlefield[J]. Acta Armamentarii, 2022, 43(5): 1093-1106.

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