基于模糊积分的元搜索引擎结果排序算法

Ranking Algorithm of Meta Search Engine Results Based on Fuzzy Integral

元搜索引擎将检索要求提交给多个成员搜索引擎,并将搜索到的网页按照一定的优先关系排列并显示给用户。如何把各成员搜索引擎的结果有机的融合在一起,进一步提高元搜索引擎的查准率,对元搜索引擎来说具有重要的意义。模糊积分算法利用各个信息源提供的信息和权值来为决策过程提供必要的数据,这种类型的信息融合能够解决信息提取和处理过程中的不确定性。实验表明利用模糊积分思想进行结果排序的算法,从一定程度上能够把搜索引擎的结果有机的融合在一起,进一步提高元搜索引擎的查准率。

Meta search engine will submit a number of searching requests to the members of the search engine, arrange the searched pages with a certain priority and display them to the users.It is of great significance how the members of search engine blend the results to further enhance the precision of the meta-search engine.Fuzzy integral algorithm uses the information and weight values provided by various information sources to provide the necessary data for decision-making process,and this type of information fusion can solve the uncertainty in information retrieval and processing.Experiments show that the fuzzy integral algorithm can fuse the results of the search engine and further enhance the meta-search engine precision.