基于改进模糊集聚类算法的运维态势模型

A predicting model of situation awareness based on hesitant fuzzy sets applications to clustering algorithm

分析了现有运维系统中态势感知模型算法的不足,给出了算法改进的目标和方向,运用决策理论,将模糊集聚类算法进行改进,提出了改进模糊集聚类算法,并结合态势感知模型中部分经典理论,建立基于改进模糊集聚类算法的态势感知算法模型。

This paper first analyses the lack of the operation and maintenance of existing systems on situational awareness model algorithm. The improved algorithm points out the goal and direction. Using decision theory,hesitant fuzzy clustering algorithm is improved. The improved fuzzy clustering algorithm,combined with the trend part of the classical theory of perception model,modeling algorithm model to improve the perception of fuzzy clustering algorithm based on the situation.