[1]李中然,舒兰. 模糊粗糙集的上下近似的矩阵计算[J].计算机技术与发展,2015,25(04):10-12.
 LI Zhong-ran,SHU Lan. Matrix Computation for Upper and Lower Approximations of Fuzzy Rough Sets [J].,2015,25(04):10-12.
点击复制

 模糊粗糙集的上下近似的矩阵计算()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年04期
页码:
10-12
栏目:
智能、算法、系统工程
出版日期:
2015-04-10

文章信息/Info

Title:
 Matrix Computation for Upper and Lower Approximations of Fuzzy Rough Sets

文章编号:
1673-629X(2015)04-0010-03
作者:
 李中然舒兰
 电子科技大学 数学科学学院
Author(s):
 LI Zhong-ranSHU Lan
关键词:
 模糊粗糙集上近似下近似矩阵
Keywords:
 fuzzy rough setupper approximationlower approximationmatrix
分类号:
TP18
文献标志码:
A
摘要:
 基于等价关系矩阵和子集的列矩阵,来研究模糊粗糙集模型。首先,定义了等价关系矩阵和列矩阵之间的运算,又提出了模糊粗糙集模型中子集的上、下近似的矩阵表达式,即利用等价关系矩阵和子集的列矩阵之间的运算来表示该子集的上、下近似集,并且证明了矩阵表达式的正确性;然后证明了上、下近似的矩阵表达式的基本性质;最后给出了模糊粗糙集上、下近似集的计算步骤,并用例子进一步说明了该算法的有效性。从而由矩阵角度研究了模糊粗糙集模型。
Abstract:
 Study the fuzzy rough set based on equivalent relation matrix and column matrix of subset. Firstly,the operation of equivalent relation matrix and column matrix are defined. A matrix operation formula about upper and lower approximations of the subset in fuzzy rough set is proposed,which means the upper and lower approximations of subset can be derived from the operation between equivalent relation matrix and the column matrix of the subset. The correctness of the matrix operation formula is proved. Then,the basic properties of the matrix operation formula for the upper and lower approximations are proved. Finally,an algorithm about upper and lower approxi-mation by matrix computing is given,and the validity of the proposed algorithm is depicted by an example. The fuzzy rough set is re-searched by matrix.

相似文献/References:

[1]孙海虹 丁华福.基于模糊粗糙集的Web文本分类[J].计算机技术与发展,2010,(07):21.
 SUN Hai-hong,DING Hua-fu.Web Document Classification Based on Fuzzy-Rough Set[J].,2010,(04):21.
[2]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
 ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(04):1.
[3]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
 LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(04):5.
[4]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
 HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(04):13.
[5]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
 HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(04):21.
[6]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
 LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(04):25.
[7]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
 WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(04):29.
[8]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
 LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(04):34.
[9]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
 SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(04):38.
[10]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
 YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(04):43.

更新日期/Last Update: 2015-06-02