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扩展的多类别信息熵的粗糙集连续属性离散化新方法
引用本文:杨新锋,杨东芳,刘克成,辛玉林. 扩展的多类别信息熵的粗糙集连续属性离散化新方法[J]. 红外与激光工程, 2014, 43(11): 3802-3806
作者姓名:杨新锋  杨东芳  刘克成  辛玉林
作者单位:1.南阳理工学院 计算机与信息工程学院,河南 南阳 473000;
基金项目:河南省科技攻关重点计划项目
摘    要:提出了一种标准粗糙集约简时连续属性离散化的新方法.采用标准粗糙集进行属性约简时,要求属性为离散的,而大多数情况下属性是连续的,因此需要进行离散化处理.首先介绍了原有的信息熵算法并指出其局限性;其次,对多类别信息熵进行扩充,将距离因素引入到该信息熵的计算中;最后给出了扩展信息熵计算的两个基本准则,利用证据理论完成信度的上聚焦.仿真显示了该方法的有效性.

关 键 词:粗糙集理论   离散化   属性约简   连续属性   证据理论
收稿时间:2014-03-07

Discretization of continuous attributes in rough set theory based on expanded multi-category information entropy
Yang Xinfeng,Yang Dongfang,Liu Kecheng,Xin Yulin. Discretization of continuous attributes in rough set theory based on expanded multi-category information entropy[J]. Infrared and Laser Engineering, 2014, 43(11): 3802-3806
Authors:Yang Xinfeng  Yang Dongfang  Liu Kecheng  Xin Yulin
Affiliation:1.School of Computer and Information Engineering,Nanyang Institute of Technology,Nanyang 473000,China;2.College of Mechanical and Electronic Engineering,Huanghe Jiaotong University,Jiaozuo 454950,China;3.Automatic Target Recognition Key Laboratory,National University of Defense Technology,Changsha 410073,China
Abstract:A new discretized approach for continuous attributes was presented. As we know, the basic rough set theory can not deal with continuous attributes, so the continuous attributes need to be discretization. Firstly, the disadvantages of original information entropy were analyzed. Secondly, the distance factor was introduced to expand the information entropy. At last two basic rules were presented to calculate expanded information entropy and DS evidential theory was used to process the mass up-focus. Simulation results show the availability of this new information fusion algorithm.
Keywords:rough set theory  discretization  attribute reduct  continuous attributes  evidential theory
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