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基于模糊概念格的Web搜索结果聚类算法
引用本文:黄健斌,姬红兵.基于模糊概念格的Web搜索结果聚类算法[J].西安电子科技大学学报,2005,32(6):856-860.
作者姓名:黄健斌  姬红兵
作者单位:[1]西安电子科技大学电子工程学院,陕西西安710071 [2]西安电子科技大学计算机学院,陕西西安710071
基金项目:"十五"国家部委预研基金资助项目(41101050108)
摘    要:提出了一种模糊形式概念分析方法,给出了在对象和属性的模糊二元关系上生成模糊概念格的过程.提出了一种在格的拓扑序列上进行概念聚类的快速算法,并且定义了概念聚类间基于偏序的层次关系.该方法利用格理论解决了概念聚类中概念间的多重继承关系,应用在Web搜索结果聚类上,实验结果表明算法在聚类质量和检索性能上都有改进和提高.

关 键 词:模糊概念格  概念聚类  Web搜索结果聚类
文章编号:1001-2400(2005)06-0856-05
收稿时间:2005-03-17
修稿时间:2005-03-17

A Web search results clustering algorithm based on fuzzy concept lattices
HUANG Jian-bin , JI Hong-bing.A Web search results clustering algorithm based on fuzzy concept lattices[J].Journal of Xidian University,2005,32(6):856-860.
Authors:HUANG Jian-bin  JI Hong-bing
Affiliation:(1. School of Electronic Engineering, Xidian Univ., Xi′an 710071, China;2. School of Computer Sceince and Technology, Xidian Univ., Xi′an 710071, China)
Abstract:Fuzzy logic is incorporated into the Formal Concept Analysis to tackle the vague data in the formal context.A fuzzy concept lattice can be generated in the fuzzy formal context.Next,a fast fuzzy conceptual clustering algorithm is proposed to cluster the fuzzy concept lattice into conceptual clusters.Then,partial order relations are defined between the clusters for construction of the concept hierarchy.This method is applied in the Web search results clustering.Experimental results show the algorithm's effectiveness and suitability for solving the multi-inheritance problems between conceptual clusters.
Keywords:fuzzy concept lattices  conceptual clustering  Web search results clustering
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