Implemention of an intelligent meta-search engine based on fuzzy integral algorithms
基于模糊积分融合方法的元搜索引擎系统

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.