改进IAHP-CIM模型的雷达组网探测能力评估方法

针对雷达组网探测能力的评估问题，采用鱼骨图法对影响雷达组网探测能力的多种因素进行梳理，得到结构层次清晰的指标评价体系。采用改进的区间层次分析—控制区间和记忆模型对该指标体系进行评估，具体方法是：运用区间层次分析法构造区间判断矩阵；利用蛙跳算法求解区间判断矩阵中满足最小一致性的确定性矩阵；利用控制区间和记忆模型来确定各指标的风险概率，实现指标体系的评估。以具体的案例为对象进行仿真实验，结果表明，所提评估方法有效，评估结论相对客观、可信，对雷达组网探测能力评估具有一定参考价值，从而为雷达组网的优化部署奠定良好基础。
Aiming at evaluating radar network detection capabilities, firstly, a multi level evaluation index system was established by using the fishbone diagram to analyze various complex factors. Secondly, the IAHP-CIM (interval analytic hierarchy process-controlled intervals and memory) model was proposed to evaluate the index system. Specifically, interval analytic hierarchy process was used to solve the problem of quantified fuzzy index, and the interval judgment matrix was obtained; the Shuffled frog leaping algorithm was applied to optimal interval matrix and the certain number matrix with the minimum consistency ration was obtained; the risk probability of indexes were acquired by the controlled intervals and memory model, and synthetically the index system was evaluated. Finally, simulation results demonstrate the feasibility of the proposed evaluation method, and the relatively objectivity of evaluation conclusion are of great significance to optimize arrangement for radar network. 