The Classification and Extraction of Effective Knowledge in Concept Lattices Based on the Conjugate Pair of Deficient Value

Jie Wu, Yuan Ma
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Abstract

In this paper, we define the concept of Projective Granule, Deficient Value, and Conjugate Pair, and achieve relevant formalized theorems and proofs. Then we find a Algorithm by which all Conjugated Pairs in the formal context can be obtained. The gain of the conjugate pair could classify the knowledge of concept lattice in accordance with some attributes (or objects) that users concern, and thus it has the significance in the extraction of useful knowledge.
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基于亏值共轭对的概念格中有效知识的分类与提取
本文定义了射影粒、亏值和共轭对的概念,并给出了相关的形式化定理和证明。在此基础上,给出了一种能求出形式上下文中所有共轭对的算法。共轭对的增益可以根据用户关心的某些属性(或对象)对概念格的知识进行分类,因此对提取有用的知识具有重要意义。
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