基于粒计算的规则发现研究  

Research of Rule Discovery Based on Granular Computing

作　　者：江娟[1] 徐翀[1] 

机构地区：[1]杭州电子科技大学计算机学院,浙江杭州310018

出　　处：《杭州电子科技大学学报（自然科学版）》2005年第6期60-63,共4页Journal of Hangzhou Dianzi University：Natural Sciences

基　　金：杭州电子科技大学校内科研基金资助(KYF071504010)

摘　　要：主要对粒计算在规则发现中的应用进行了研究。数据挖掘中的规则发现已经有了许多方法,例如Rough set理论。粒计算和Rough set理论有很多的关联,将这两者结合起来应用是一个很有意义的研究。文中先介绍粒及粒计算的基本性质,接着对粒计算和Rough set理论两者进行了一定的比较,最后对粒计算在规则发现中的应用进行了讨论研究。This paper discussed the application of granular computing in rule discovery. There has already a lot of methods used in rule discovery in data mining, such as rough set theory. The granular computing has correlations with rough set theory, so there is a kind of valuable research of combining these two methodologies. In the paper, firstly the basic concepts and common characters are presented. Then it compares the granular computing with the rough sets theory. Finally, there is an example of decision table for the application of granular computing in rule discovery.

关 键 词：粒计算 数据挖掘 规则发现 ROUGHSET理论 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]