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粗糙集理论研究的矩阵方法 被引量:7

Matrix approach to the study of rough set theory
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摘要 针对粗糙集研究中集合之间关系的计算问题,提出了一种基于矩阵的度量和计算方法。该方法通过引入类矩阵算子、关系矩阵算子、集合矩阵等概念和借助水平截矩阵,得到集合的矩阵表示以及集合与等价类之间关系的矩阵计算。通过对该方法的一些基本性质讨论,给出了该方法在变精度粗糙集模型中属性约简的具体步骤,并用实例说明了其有效性。 Aiming at the computational problem of rough sets, a measure and computational approoen to studying rough set theory based on matrixes is proposed. The approach acquires a measure set denoted in the form of matrixes and the matrix computation of relationships between set and equivalent class by introducing some basic concepts such as class matrix operator, relation matrix operator, set matrix, and with the help of the level cut matrix of product matrixes. The properties of the method are also disscussed. The steps of attributes reduction about the approach applied to a variable precision rough set model are presented. The correctness and effectiveness of the new approach are shown with an example.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2009年第4期859-862,共4页 Systems Engineering and Electronics
基金 国家自然科学基金(10661007) 江西省自然科学基金(0611009) 华东交通大学校立科研基金(07JC05)资助课题
关键词 粗糙集 属性约简 关系矩阵算子 变精度粗糙集模型 数据挖掘 数据约简 rough set attribute reduction relation matrix operator variable precision rough set model data mining data reduction
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  • 1杨明.一种基于改进差别矩阵的核增量式更新算法[J].计算机学报,2006,29(3):407-413. 被引量:76
  • 2[1]Pawlak Z. Rough Sets: Theoretical Aspects of Reasoning a bout Data. Boston: Kluwer Academic Publishers,1991
  • 3[6]Ziarko W. Variable precision rough set model. Journal of Computer and System Sciences,1993,46(1):39~59
  • 4[7]Greco S,Matarazzo B,Slowinski R. A new rough set approach in multicreteria and multiattribute classification. In: Lecture Notes in Artificial Intelligence 1424, New York: Springer-Verlag, 1998
  • 5[8]Slezak D. Approximate reducts in decision tables. In: Proceedings of IPMU' 96 ,Granada,Spain, 1996,3:159~ 1164
  • 6[9]Quafatou M. α-RST: A generalization of rough set theory. In formation Sciences,2000,124(1~4) :301~316
  • 7[10]Kryszkiewicz M. Comparative studies of alternative type of knowledge reduction in inconsistent systems. International Journal of Intelligent Systems, 2001,16(1): 105~120
  • 8Z Pawlak.Rough sets[J].International Journal of Computer and Information Science,1982,11:341-356.
  • 9Z Pawlak.Rough sets and intelligent data analysis[J].Information Sciences,2002,147(1-4):1-12.
  • 10Zhong Ning,Dong Juzhen,Ohsuga Setsuo.Rule discovery by soft induction techniques[J].Neurocomputing,2001,36(1-4):171-204.

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