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粗集理论中基于规则及其参数的分类识别
引用本文:安利平,仝凌云. 粗集理论中基于规则及其参数的分类识别[J]. 计算机工程与应用, 2004, 40(3): 68-70,78
作者姓名:安利平  仝凌云
作者单位:南开大学国际商学院,天津,300071;河北工业大学管理学院,天津,300130
摘    要:粗集理论的提出为获取if...then...形式的规则提供了重要方法,但是现有的方法一般没有考虑决策表中属性的权重信息。此外,在利用规则进行分类识别时,还可能用到其他方面的信息,如导出规则的等价类、规则前件的长度等。因此,笔者从规则的支持量、精度、适用度、权重、导出规则的等价类和前件长度几个参数对一条规则进行全面描述。利用规则及其参数,提出了几种分类识别的策略。

关 键 词:粗集  识别  规则获取
文章编号:1002-8331-(2004)03-0068-03

Classification Based on Rules and their Parameters in Rough Set Theory
An Liping Tong Lingyun. Classification Based on Rules and their Parameters in Rough Set Theory[J]. Computer Engineering and Applications, 2004, 40(3): 68-70,78
Authors:An Liping Tong Lingyun
Affiliation:An Liping 1 Tong Lingyun 21
Abstract:Rough set theory has been proved to be a useful tool for rule induction.But ,most of the methods did not consider the weight of the attributes in a decision table.In addition,classification based on the induced rules need other information,such as the number of a rule's antecedent ,objects from which the rule is induced.In this paper,six parameters of a rule,i.e.,support,accuracy,coverage,weight ,condition equivalence classes from which the rule is induced,and the number of antecedent are used to describe the corresponding rule.Then,several techniques for rule-based-classification are put forward.
Keywords:Rough sets  Classification  Rule induction
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