基于改进AHP-FCE模型的多指标拟态表决算法

为了提高拟态防御中表决的准确性，提出了一种基于改进层次分析-模糊综合评价（AHP-FCE）模型的多指标拟态表决算法.针对传统AHP-FCE模型中判断矩阵一致性检验的缺点，对判断矩阵的构造方法进行了改进，构造具有一致性的判断矩阵，无须一致性校验和调整.基于该改进模型，综合分析了拟态表决中的一致度、历史置信度、异构度指标，将拟态表决转化为模糊评价过程.仿真结果表明，与一致表决相比，该算法能有效提高表决的正确率，提升拟态系统的整体安全性能.

A Multi-Index Mimic Voting Algorithm Based on Improved AHP-FCE Model

In order to improve the accuracy of mimic voting, a multi-index mimic voting algorithm based on the improved analytic hierarchy process-fuzzy comprehensive evaluation(AHP-FCE) model is proposed. In view of the shortcomings of the consistency check in the traditional model, the proposed algorithm improves the construction method of the judgment matrix. It can construct a judgment matrix that must have consistency with no need for consistency check and adjustment. Based on the improved model, the algorithm comprehensively analyzes the consistency, historical confidence, and heterogeneity in the mimic voting, transforming the mimic voting into a fuzzy evaluation process. Simulations show that compared with consensus voting, the algorithm can effectively improve the accuracy of voting and the overall safety performance of a mimic system.