计算机科学 ›› 2012, Vol. 39 ›› Issue (1): 193-197.

• 人工智能 • 上一篇    下一篇

区间值决策形式背景的属性值向量约简

黄艳,任苗苗,魏玲   

  1. (西北大学数学系 西安710069)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Reduction of Attribute Values Based on Interval-valued Formal Decision Contexts

  • Online:2018-11-16 Published:2018-11-16

摘要: 概念格是一种潜力极大的有效的知识发现工具,现已被广泛应用于计算机网络、数据挖掘等领域。针对现实生活中信息的不确定性,定义了区间值决策形式背景;通过讨论条件区间形式背景与决策区间形式背景概念格之间的关系,研究了区间值决策形式背景的协调性,进一步研究了属性值向量约简,使得原背景在属性及属性区间值两个方面得到简化。

关键词: 区间值决策形式背景,概念格,协调性,属性值向量约简

Abstract: The theory of concept lattices is an efficient tool for knowledge discovery, and is applied to many fields. Considering the information uncertainty in the real world, the paper defined the interal-valued formal decision context. Based on which, the consistence of the interval-valued formal decision context was studied through the relation between condition context and decision context, and further, the reduction of attribute value vectors was studied, which makes the attribute number and interval-value of attribute simpler than before.

Key words: Interval-valued formal decision context, Concept lattices, Consistence, Reduction of attribute value vectors

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