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基于Rough集距离函数的属性值区间化及其应用
引用本文:刘宇熹,刘庆华,王黔英. 基于Rough集距离函数的属性值区间化及其应用[J]. 计算机与现代化, 2002, 0(1): 18-20
作者姓名:刘宇熹  刘庆华  王黔英
作者单位:1. 南昌大学数理学院,江西,南昌,330029
2. 南昌高等专科学校计算机系,江西,南昌,330009
摘    要:Rough集作为一种处理模糊和不确定性问题的新颖方法已经在许多领域得到了广泛的应用。本文通过计算使决策表中的属性值区间化[3 ] ,删去冗余的决策规则 ,从而生成一种更具代表性的数据隐含式。利用上下距离函数和Rough决策因子代替统计方法或专家经验方法 ,在实际开发的系统中更具实用性。

关 键 词:Rough集  上下距离函数  决策规则  区间化
文章编号:1006-2475(2002)01-0018-03
修稿时间:2001-09-10

The Interval Values of Attributes Based on Rough Operator and Its Application
LIU Yu xi ,LIU Qing hua ,WANG Qian ying. The Interval Values of Attributes Based on Rough Operator and Its Application[J]. Computer and Modernization, 2002, 0(1): 18-20
Authors:LIU Yu xi   LIU Qing hua   WANG Qian ying
Affiliation:LIU Yu xi 1,LIU Qing hua 2,WANG Qian ying 1
Abstract:Rough sets as a new approach to handle vagueness and uncertainty have been widely used in many fields. This paper generates the interval values of attributes in decision table through computation, drops off the superfluous decision rules, so forms a much more representative data implication formula. Using distance functions with respect to rough upper and lower approximations and rough decision factor, instead of statistics or experts experiences methods can be more useful in the application.
Keywords:Rough sets  distance functions  decision rules  interval values
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