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模糊相容关系的最优逼近问题 被引量:1

Best Approximation for Fuzzy Tolerance Relation
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摘要 文中讨论模糊相容关系的最优模糊等价关系的逼近问题,先讨论集合覆盖与划分之间的关系,给出覆盖(划分)之间距离的概念,在此基础上提出求已知覆盖的最优划分逼近的问题,并讨论在三种不同的划分集合簇中求最优逼近的准则,给出了相应的最优算法.然后利用商空间方法将模糊相容关系化成相容关系链,再利用求相容的最优逼近的算法,给出求模糊相容关系的最优逼近的模糊等价关系. In this paper, we investigate the fuzzy equivalence relation based optimal approxima- tion of a fuzzy tolerance relation. Firstly, we discuss the relation between covers and partitions on a set. Secondly, based on the concept of the distance between two covers (or partitions) of a set, we present the optimal partition approximation problem of a given cover and further discuss the problem under three different families of sets of partitions and their corresponding optimal algorithms. Finally, we show that a fuzzy tolerance relation can be transformed into a chain of tolerance relations by using quotient space method. Then, the optimal approximation algorithms of tolerance relations are used to obtain an optimal approximation of fuzzy equivalence relation from a fuzzy tolerance relation.
作者 张铃 王伦文
出处 《计算机学报》 EI CSCD 北大核心 2013年第11期2274-2282,共9页 Chinese Journal of Computers
基金 国家自然科学基金(61073117,61273302) 安徽省自然科学基金(1208085MF98)资助~~
关键词 聚类 不完备信息 划分 模糊相容关系 数据挖掘 cluster incomplete information partition fuzzy tolerance relation data mining
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