一种新的模糊概念格及其构造方法  

A New Fuzzy Concept Lattice and Its Construction

作　　者：赵明清[1] 杨强[2] 

机构地区：[1]山东科技大学信息科学与工程学院,山东青岛266510 [2]烟台南山学院基础教学部,山东烟台265713

出　　处：《山东科技大学学报（自然科学版）》2009年第3期79-82,共4页Journal of Shandong University of Science and Technology(Natural Science)

基　　金：国家自然科学基金项目(60603090)

摘　　要：Will.R提出的概念格反映了对象与属性之间的精确关系,而在现实生活中,人类认识的大量概念都是模糊的,因此研究模糊概念格有着重要意义。提出了一种新的模糊概念格,讨论了它的性质以及构造方法,给出了模糊概念的构造算法。最后,用一个算例证明了该方法的有效可行性。The concept lattice given by Will. R reflects the precise relations between objects and attributes, but in fact, many concepts known by people in context is usually fuzzy and imprecise, so it plays an important role in Studying the fuzzy concept lattice. This paper presents a new definition of the fuzzy concept lattice of a fuzzy formal context, discusses its properties and gives an algorithm to compute all fuzzy concepts. Finally, we give an example to illustrate the method.

关 键 词：形式背景 模糊集 概念格 模糊概念格 算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]