The study on campus network security evaluation based on fuzzy membership

Yan Shi
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Abstract

Evaluation of campus network security is a complicated systematic project. The paper analyzes the reasons of the questions, obtains the solving method, and at last builds the M(1,2,3) model without the interference of redundant data, which is different from )M(g+) and is a nonlinear model. The paper will apply the new algorithm in the fuzzy evaluation on campus network security.
基于模糊隶属度的校园网安全评价研究
校园网安全评价是一项复杂的系统工程。本文分析了问题产生的原因,得出了求解方法,最后建立了不受冗余数据干扰的M(1,2,3)模型,该模型不同于M(g+)模型,是一个非线性模型。本文将该算法应用于校园网安全模糊评价中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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