基于Picture模糊软似然函数的计算机网络犯罪证据推理  

Computer Network Crime Evidence Reasoning Based on Picture Fuzzy Soft Likelihood Function

作　　者：李欣美 林铭炜 LI Xinmei;LIN Mingwei(College of Mathematics and Informatics,Fujian Normal University,Digital Fujian Intemet-of-Things Laboratory of Environmental Monitoring,Fuzhou 350117,China)

机构地区：[1]福建师范大学数学与信息学院,数字福建环境监测物联网实验室,福建福州350117

出　　处：《福建师范大学学报（自然科学版）》2020年第6期14-27,共14页Journal of Fujian Normal University：Natural Science Edition

基　　金：国家自然科学基金资助项目(61872086);国家自然科学基金海峡联合基金重点资助项目(U1805263)。

摘　　要：提出基于Picture模糊集的软似然函数的概念,并应用于计算机网络犯罪的证据推理.采用将有序加权平均算子和似然函数结合的方法解决现有似然函数限制条件太严格的缺陷.在此基础上,引入可靠性的概念,通过考虑Picture模糊集信息的可靠性,建立了考虑可靠性的Picture模糊软似然函数.利用所提出的基于可靠性的Picture模糊软似然函数进行计算机网络犯罪证据推理,并给出了实例分析.The concept of soft likelihood function based on Picture fuzzy set is proposed and applied to the evidential reasoning of computer network crime.The method of combining the ordered weighted average operator with likelihood function is used to solve the problem of too strict constraint condition of likelihood function.On this basis,the concept of reliability is introduced,and the soft likelihood function based on reliability is established by considering the information reliability of picture fuzzy set.The soft likelihood function based on reliability and picture fuzzy set is used for computer network crime evidence reasoning.

关 键 词：Picture模糊集 似然函数 有序加权平均算子 可靠性 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术] O159[自动化与计算机技术—计算机科学与技术]