摘要
概念格是近年来兴起的知识表示模型。现实世界中的事物大多具有不精确性特征,如何将若干模糊对象构建成一个概念格具有重要的理论与应用价值。选择适于构建精确概念格的Bordat方法,应用模糊集理论对其进行改进,重新定义了概念格的顶节点确定过程和子节点生成算法,提出了构建模糊概念格的Bordat方法,结合实例说明了其应用,即生成相关的模糊概念,同时构建与之对应的模糊概念格。该方法不仅保留了作为数据源的模糊形式背景的所有信息,而且所需生成的模糊概念数量少,方法简单快捷,易于计算机实现。
Concept lattice is the knowledge representation model which is rising in recent years.Most things in the real world have imprecision features,how to construct a concept lattice based on some fuzzy objects has important values in both theory and practice.This paper uses fuzzy set theory to improve Bordat method which is suitable for constructing the precise concept lattice,redefines the process determining the top node and the algorithm obtaining the child nodes, proposes the Bordat method of constructing fuzzy concept lattice,and includes an example to illustrate the method that generates the relevant fuzzy concepts while constructing a corresponding fuzzy concept lattice.This method not only preserves all the information of a fuzzy formal context which is the data source,but also generates a small number of fuzzy concepts.It is simple and quick,and easy to be implemented by a computer.
出处
《计算机技术与发展》
2010年第10期127-130,共4页
Computer Technology and Development
基金
国家自然科学基金资助项目(60972090)
辽宁省自然科学基金资助项目(20072142)
