A Recognition Method of Attributes in Concept Lattices Based on Irreducible Elements
基于不可约元的概念格属性特征识别方法

Formal concept analysis is an effective mathematic tool for data mining and knowledge acquisition. Concept lattice is a key issue of formal concept analysis, and characterizes the essential relation of objects and attributes. Based on the properties of irreducible elements in the extent and intent closure systems, this paper investigates the problem of attribute classification in concept lattices and presents a recognition method of the characteristic of attributes. The method proposed not only reveals the relationships between the irreducible elements and the characteristics of attributes, but also provides a new way for knowledge reduction.