首页|期刊导航|南昌工程学院学报|Granularity of Knowledge Computed by Genetic Algorithms Based on Rough Sets Theory

Granularity of Knowledge Computed by Genetic Algorithms Based on Rough Sets Theory

Wenyuan Yang Xiaoping Ye Yong Tang Pingping Wei

南昌工程学院学报2006，Vol.25Issue(2)：97-101,121,6.

Granularity of Knowledge Computed by Genetic Algorithms Based on Rough Sets Theory

Wenyuan Yang ¹Xiaoping Ye ²Yong Tang ³Pingping Wei³

作者信息

1. Dep. Of Computer Engineering, Zhangzhou Institute of Technology, Zhangzhou 363000,China
2. Dep. Of Computer Science, Sun Yat-Sen University, Guangzhou 510275,China
3. Dep. of Computer Science, Sun Yat-Sen University, Guangzhou 510275,China
折叠

摘要

Abstract

Rough set philosophy hinges on the granularity of data, which is used to build all its basic concepts, like approximations, dependencies, reduction etc. Genetic Algorithms provides a general frame to optimize problem solution of complex system without depending on the domain of problem. It is robust to many kinds of problems. The paper combines Genetic Algorithms and rough sets theory to compute granular of knowledge through an example of information table. The combination enable us to compute granular of knowledge effectively. It is also useful for computer auto-computing and information processing.

关键词

granularity of knowledge/Genetic Algorithms/Pawlak Model Rough Set Theory/information table

Key words

granularity of knowledge/Genetic Algorithms/Pawlak Model Rough Set Theory/information table

分类

数理科学

引用本文复制引用

Wenyuan Yang,Xiaoping Ye,Yong Tang,Pingping Wei..Granularity of Knowledge Computed by Genetic Algorithms Based on Rough Sets Theory[J].南昌工程学院学报,2006,25(2):97-101,121,6.

基金项目

National Natural Science Foundation of China (Grant NO.60373081 ) （Grant NO.60373081 ）

Natural Science Foundation of Gangdong Province of China under Grant No. 04105503. （）

南昌工程学院学报

ISSN：1674-0076

访问量0

下载量0

段落导航