粗集
模糊性
造粒
粒度计算
熵(时间箭头)
基于优势度的粗糙集方法
数学
信息图表
计算机科学
数据挖掘
人工智能
统计物理学
最大熵原理
最大熵热力学
联合量子熵
模糊逻辑
热力学
物理
经典力学
作者
Jiye Liang,Zhongzhi Shi
标识
DOI:10.1142/s0218488504002631
摘要
Rough set theory is a relatively new mathematical tool for use in computer applications in circumstances which are characterized by vagueness and uncertainty. In this paper, we introduce the concepts of information entropy, rough entropy and knowledge granulation in rough set theory, and establish the relationships among those concepts. These results will be very helpful for understanding the essence of concept approximation and establishing granular computing in rough set theory.
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