基于直觉模糊Petri网的敌意图识别方法研究

Research of foe intention recognition method based on intuitionistic fuzzy Petri net

现代战争中由于战场态势的不确定性,敌战术意图的识别也应作为一个动态的不确定性决策问题进行研究。针对该不确定性动态识别问题,综合利用直觉模糊集合理论与Petri网理论的优点,构建了敌战术意图识别的直觉模糊Petri网模型及其推理算法,在推理过程中充分发挥Petri网的动态并行推理能力,使得推理更加高效,由于非隶属参数的作用,推理结果更加准确可信。通过建模仿真给出该模型的应用步骤,验证了其正确性和合理性。

The foes＇ intention recognition should be a dynamic and uncertain decision-making process because of the uncertainty of combat situation. In order to deal with the uncertainty in a dynamic recognition process, the Intuitionistic Fuzzy Petri Net （IFPN） model and its reasoning algorithm were built by combining the advantages of the Intuitionistic Fuzzy Set （IFS） theory and Petri net theory. Furthermore, the efficiency of the reasoning was improved due to the parallel operation ability of Petri net, and the reasoning result was more precise and more believable because of the effect of the non-membership parameter. Finally, an instance was presented to illustrate the feasibility and validity of the proposed model.