In the collaborative situation assessment of manned aircraft vehicle (MAV) and unmanned aircraft vehicle (UAV), because of the uncertainty, dynamic and fuzzification of the battlefield environment information and associated information, how to obtain relatively accurate situation assessment results is a problem to be solved. In this paper, a dynamic intuitionistic fuzzy cognitive map (DIFCM) is formed by combining intuitionistic fuzzy sets with fuzzy cognitive map. A MAV-UAV cooperative situation assessment model is established based on DIFCM. Considering the human factor, the workload of pilot is introduced into the evaluation model as a concept node. Each node in the model is composed of membership degree and non membership degree, and the node states are compared by the score and accuracy. Through the simulation experiment, the rationality and feasibility of the evaluation model are verified. Different initial battlefield information, environment variables and node hesitation are set up to analyze the situation assessment output. The experimental results show that the situation assessment model can objectively evaluate the battlefield situation and provide more decision-making information for commanders.


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    Title :

    MAV-UAV Collaborative Situation Assessment Based on Dynamic Intuitionistic Fuzzy Cognitive Maps


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Xiong, Hongyi (author) / Li, Shang (author) / Lei, Teng (author) / Chen, Jun (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Publication date :

    2022-03-18


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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