%0 Journal Article
%T Implemention of an intelligent meta-search engine based on fuzzy integral algorithms<br>基于模糊积分融合方法的元搜索引擎系统
%A CUI Shu-ning
%A ANG Zheng-quan
%A ZHU Dan-jun
%A FENG Bo-qin
%A <br>昂正全
%A 崔舒宁
%J 计算机应用
%D 2007
%I 
%X An intelligence meta-search engine based on fuzzy integral algorithms was implemented. The search agent was adopted because of the high parallelism and intelligence of the system. The scheduling of search sources was optimized by integrating the decision-tree algorithms and genetic algorithms, and then a new method of fuzzy integral was presented to merge the results. By the experiments on Web and results comparison with other search engines and other meta-searches in the same conditions, the meta-search engine presented in this paper has a better performance.
%K meta-search engine
%K decision-tree
%K genetic algorithm
%K fuzzy integral<br>元搜索引擎
%K 决策树
%K 遗传算法
%K 模糊积分
%K 模糊积分
%K 融合方法
%K 智能性
%K 搜索引擎系统
%K algorithms
%K fuzzy
%K integral
%K based
%K engine
%K 搜索效果
%K 描述
%K 比较
%K 元搜索引擎
%K 条件
%K 实际测试
%K 具体算法
%K 融合技术
%K 结果集
%K 原理应用
%K 使用
%K 优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512B6E20697525DF5D3&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=52B9DFFFCC2EB041&eid=57EA20F731155703&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6