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粗糙近似算子在模式的可能性和必然性分类中的应用
引用本文:邓方安,刘三阳,徐扬,杨磊.粗糙近似算子在模式的可能性和必然性分类中的应用[J].电子学报,2004,32(4):697-700.
作者姓名:邓方安  刘三阳  徐扬  杨磊
作者单位:1. 西南交通大学电气工程学院,四川成都 610031;2. 陕西理工学院数学与计算机科学系,陕西汉中 723001;3. 西安电子科技大学应用数学系,陕西西安 710071
摘    要:研究粗糙近似算子关于模式"二分法"的相关性质,描述了利用给定模式把模式空间划分成两组的模式分类的可能性和必然性,并设计了有边界区域的模式分类的可能性和必然性的粗糙神经网络算法.最后,用仿真实验验证了算法的有效性.

关 键 词:粗糙近似算子  模式分类  可能性和必然性  
文章编号:0372-2112(2004)04-0697-04
收稿时间:2002-04-25

Applications of Rough Approximate Operators in the Possibility and Necessity of Pattern Classification
DENG Fang-an,LIU San-yang,XU Yang,YANG Lei.Applications of Rough Approximate Operators in the Possibility and Necessity of Pattern Classification[J].Acta Electronica Sinica,2004,32(4):697-700.
Authors:DENG Fang-an  LIU San-yang  XU Yang  YANG Lei
Affiliation:1. School of Elec.Eng.,Southwest Jiaotong University,Chengdu,Sichuan 610031,China;2. Department of Mathematics and Computer Science,ShaanXi University of technology,Hanzhong,Shaanxi 723001,China;3. Department of Applied Mathematics,Xidian University,Xi'an,Shaanxi 710071,China
Abstract:In this paper, the properties of rough approximate operator for bisection method of pattern are discussed. The possibility and necessity of pattern classification by dividing pattern space into two decision areas using the given patterns are described. Ine rough neural networks algorithm of the possibility and necessity of the classification problem with boundary areas is designed. Finally, numerical examples are given to illustrate the efficiency of algorithm.
Keywords:rough approximate operator  pattern classification  possibility and necessity
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