基于模糊综合评价法的仿真环境复杂度评估研究

Research on Complexity Evaluation of Simulation Environment based on Fuzzy Comprehensive Evaluation Method

近年来,环境仿真成为仿真研究的一个热点。影响环境的因素众多,为定量评估环境复杂度,提出以层次分析法和模糊综合评价法为理论基础的多级指标综合评估方法对环境复杂度进行分析评估。通过对环境中的地形、电磁、障碍物和气象等主要因素进行考察,建立目标层、准则层和方案层三级评价指标体系,运用专家打分法建立评价指标矩阵,并使用粒子群算法对指标矩阵进行一致性调整,最后采用模糊综合评价法对各指标进行综合评价,并结合指标权重计算得出不同应用场景下的环境复杂度,为决策人员依据环境复杂度进行决策提供数据支持。

In recent years, environmental simulation has become a research focus in simulation research. There are many factors that affect the environment. In order to quantitatively evaluate the environmental complexity, a multi-level index comprehensive evaluation method based on Analytic Hierarchy Process(AHP) and fuzzy comprehensive evaluation method is proposed. Through investigations of the main factors such as terrain, electromagnetism, obstacles and meteorology in the environment, the three-level evaluation index system of target layer, criterion layer and scheme layer is established,the evaluation index matrix is established by expert scoring method, and the consistency of the index matrix is adjusted by particle swarm optimization algorithm. Finally, the fuzzy comprehensive evaluation method is used to comprehensively evaluate each index. The environmental complexity under different application scenarios is calculated by combining the index weight to provide data support for decision makers to make decisions based on the environmental complexity.