%0 Journal Article
%T Application of fuzzy genetic algorithm in sensitive wordclassification optimization<br>模糊遗传算法在敏感词分类优化中的应用
%A YEI Lei
%A ZOU Guo-qi
%A XIAO Jian
%A <br>叶　蕾
%A 邹国奇
%A 肖　健
%J 计算机应用研究
%D 2012
%I 
%X In allusion to the shortcoming existed in previous sensitive words classification optimization, this paper proposed an optimization method which put the classification on the basis of fuzzy genetic algorithm. The method applied fuzzy logic theory to genetic algorithm, simulated the process and mechanism of biological evolution to figure out the actual problem of sensitive word qualitative structure optimization. Studies show that the method has a good effect on optimization classification for the change of part-of-speech and structure of sensitive words, thereby it ensures a holistic classification quality, rapid classification efficiency, robust and reliable classification performance.
%K sensitive word
%K genetic algorithm
%K fuzzy logic
%K classification optimization<br>敏感词
%K 遗传算法
%K 模糊逻辑
%K 分类优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=3178011684088478B01218AFEB421AEC&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=DF92D298D3FF1E6E&sid=8DE9A8A255B6D811&eid=3C16267DE2F9AAE4&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9