基于云理论和模糊模型的预警系统性能评估  

Evaluation Method of Distant Early Warning System Performance Based on Cloud Theory and Fuzzy Model

作　　者：董华清[1] 彭冬亮[1] 张辰璐 谷雨[1] 

机构地区：[1]杭州电子科技大学自动化学院,浙江杭州310018

出　　处：《杭州电子科技大学学报（自然科学版）》2016年第5期38-46,共9页Journal of Hangzhou Dianzi University：Natural Sciences

基　　金：国家自然科学基金资助项目(61174024);国家重点基础研究发展计划资助项目(2012CB821200)

摘　　要：为了对远程预警系统性能进行全面评估,提出了结合模糊模型与云理论的评估方法.首先利用层次分析法把复杂评估过程分成若干层次,利用云理论解决了定性指标的评估问题,再采用模糊模型解决了部分定量指标的评估问题,通过两类指标的综合评估,实现了对远程预警系统的合理评估.评估实例分析表明,评估方法能客观地评估远程预警系统性能,具有一定的实用性和适用性.To comprehensively evaluate the performance of remote early warning system,combination evaluation method of fuzzy model and the cloud theory has been proposed.First use of analytic hierarchy process to complex evaluation process is divided into several levels,then using the theory of cloud to solve the problem of the qualitative index of the evaluation,and combining with fuzzy model solve the problem of some quantitative indexes of evaluation.Final,by two kinds of combination of qualitative and quantitative index comprehensive evaluation,completed a reasonable assessment of remote warning systems by combining qualitative and quantitative index.Through analyzing evaluation showed that this method can objectively evaluate the remote early warning system performance and has certain practicability and applicability.

关 键 词：远程预警系统 性能评估 云理论 模糊模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]