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缺值背景中的概念分析与知识获取

Concept Analysis and Knowledge Acquisition in Missing-Value Context

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【摘要】 <正> 1 引言形式概念分析是由Wille教授于80年代初提出的一种形式化的数学方法,它清晰地阐述了对于概念的哲学理解——概念是由内涵和外延两个部分所组成的单元。形式概念格作为其基础性的数据结构,本质上描述了对象和属性之间的联系,表明了概念间的泛化与例化关系,已经被广泛地应用于知识表示、知识发现、信息检索、软件工程等许多领域。粗糙

【Abstract】 In formal concept analysis,concept lattice as the fundamental data structure can be constructed from a formal context. However.it is required that the relation between object and feature in the formal context should be certain. For uncertain relation,this paper uses the thoughts of upper and lower approximation in rough set theory to deal with it,and gives out the corresponding definitions of missing-value context and rough formal concept. Based on them, this paper employs rough concept lattice, formed by rough formal concepts and partial order relation on them,as the basic data structure for concept analysis and knowledge acquisition. Then a theroem is presented to describe the method of extracting rules from constructed rough formal concept lattice, and the semantic interpretation of discovered rules is explained.

【基金】 国家自然科学基金;国家机械发展基金
  • 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2000年09期
  • 【分类号】TP301
  • 【被引频次】12
  • 【下载频次】104
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