数据采集与处理2018，Vol.33Issue(1)：171-178,8.DOI:10.16337/j.1004-9037.2018.01.019
基于相对信息熵和语言加权算子的网络舆情突发事件模糊多指标应急决策方法
Fuzzy Multi-indicator Group Decision Making of Internet Public Opinion Emergency Based on Relative Entropy and Linguistic Weighted Operator
摘要
Abstract
On the basis of analyzing causes of Internet public opinion emergency(IPOE)and features of e-mergency decision,the indicators of IPOE are constructed from three aspects of the state of Internet pub-lic opinion,the emergency itself and the public attention.Due to the uncertainty and diversity of indica-tors for IPOE and the difference of linguistic judgment matrices on crisis evaluation from experts,we propose a fuzzy multi-indicator group decision making of IPOE based on relative entropy and linguistic weighted operator.Firstly,according to judgment matrix of evaluating importance of indicators,we cal-culate the weights of indicators of each expert,and then use the multi-indicator combination weighting method based on relative entropy to get the experts′weights,so we can calculate comprehensive weights of indicators of IPOE.Secondly,based on linguistic indicator evaluation of IPOE from experts,we use the linguistic weighted arithmetic average operator to gain the comprehensive evaluation of the value of each IPOE,and quickly sort out IPOEs according to crisis levels.Finally,an example is carried out to show the practicality of the proposed method.关键词
网络舆情突发事件/应急群决策/语言判断矩阵/相对熵/语言加权算子Key words
Internet public opinion emergency/group decision making/linguistic judgment matrix/rela-tive entropy/linguistic weighted operator分类
信息技术与安全科学引用本文复制引用
张倩生,冯雨桐..基于相对信息熵和语言加权算子的网络舆情突发事件模糊多指标应急决策方法[J].数据采集与处理,2018,33(1):171-178,8.基金项目
广东省自然科学基金(2017A030313435)资助项目 （2017A030313435）
广东省高等教育"创新强校工程"(GWTP-GC-2014-03)资助项目 （GWTP-GC-2014-03）
国家社会科学基金(13CGL130)资助项目. （13CGL130）
