粗糙集理论中知识粗糙性与属性重要性的信息度量(英文)  

Information Measures of Roughness of Knowledge and Significance of Attribute in Rough Set Theory

作　　者：梁吉业[1] 李德玉[1] 

机构地区：[1]西安交通大学理学院,西安710049

出　　处：《工程数学学报》2000年第B05期106-108,共3页Chinese Journal of Engineering Mathematics

基　　金：Foundation item :Thiswork wassupported by the national young science foundation of China !( No.6980 50 0 4 ) ;The studying

摘　　要：粗糙集理论是一种处理模糊和不确定性问题的新的数学方法。本文通过引入知识的信息量概念 。Rough set theory is a new mathematical approach to deal with vagueness and uncertainty.This paper addresses information measures of roughness of knowledge and significance of attribute by introducing a concept of information quantity.

关 键 词：粗糙集理论 知识粗糙性 属性重要性 信息度量 

分 类 号：O144[理学—数学] TP18[理学—基础数学]