控制理论与应用2013，Vol.30Issue(1)：8-16,9.DOI:10.7641/CTA.2013.20066
基于模糊关联聚类的知识网选择方法
Selection of knowledge mesh based on fuzzy relational clustering
摘要
Abstract
The knowledge mesh's selection method based on fuzzy relation clustering is proposed for the selecting problem caused by the increasing similar knowledge mesh and unclear requirements of user in knowledgeable manufacturing system. The similarity degree which synthesizes the function, perfection degree and structure of knowledge mesh, has the characteristics of reflecting operation laws. The similarity values as cluster data reduce the dimension of high-dimensional feature space. The decomposition of fuzzy relational matrix obtains the groups of knowledge meshes. The comparisons between target knowledge mesh and knowledge mesh with high class membership degree in each class narrow the scope of user selection. The last example shows that the method is effective and feasible.关键词
知识化制造/知识网/模糊关联聚类/相似度/矩阵分解Key words
knowledgeable manufacturing/ knowledge network/ fuzzy relational clustering/ similarity/ matrix decomposition分类
信息技术与安全科学引用本文复制引用
杨人子,严洪森..基于模糊关联聚类的知识网选择方法[J].控制理论与应用,2013,30(1):8-16,9.基金项目
国家自然科学基金重点资助项目(60934008) （60934008）
江苏省博士后基金资助项目(1202102C). （1202102C）
