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区间值决策信息系统的启发式属性约简
引用本文:梁春华,张海云.区间值决策信息系统的启发式属性约简[J].计算机工程与应用,2012,48(27):114-118.
作者姓名:梁春华  张海云
作者单位:1. 山西省财政与税务专科学校经济信息系,太原030024;山西大学计算机与信息技术学院,太原030006
2. 山西大学计算机与信息技术学院,太原,030006
基金项目:国家自然科学基金(No.71031006,No.70971080,No.60903110)
摘    要:区间值决策信息系统是单值信息系统的一种推广,借助于属性区间值的相似程度在区间值决策系统上引入α极大相容类的概念,定义了一种新的条件信息熵,提出了相对属性内(外)重要度的度量方法,进一步,给出基于α条件信息熵的启发式相对约简算法,通过实验验证了该算法的有效性。

关 键 词:区间值决策系统  α极大相容类  α近似约简  相对属性重要度

LIANG Chunhua,ZHANG Haiyun.Heuristics attribute reduction in interval-valued decision system
LIANG Chunhua , ZHANG Haiyun.LIANG Chunhua,ZHANG Haiyun.Heuristics attribute reduction in interval-valued decision system[J].Computer Engineering and Applications,2012,48(27):114-118.
Authors:LIANG Chunhua  ZHANG Haiyun
Affiliation:1.Department of Economical Information,Shanxi Finance & Taxation College,Taiyuan 030024,China 2.School of Computer & Information Technology,Shanxi University,Taiyuan 030006,China
Abstract:Interval-valued decision information systems are generalized models of single-valued information systems.A kind of α maximal tolerance class is introduced by similarity grade of attribute’s interval-value in interval-valued decision system.This paper defines new conditional entropy among attributes in interval-valued information systems and proposes two types of measurement of relative attribute importance,which is inner attribute importance and outer attribute importance.Furthermore,a heuristic relative attribute reduction algorithm based on α conditional information entropy is given,and the validity of the algorithm is illustrated by some experiments.
Keywords:interval-valued decision system  α maximal consistent class  α approximation reduction  relative attribute importance
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