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基于差别矩阵的属性约简算法

A Reduction Algorithm Based on Differentiability Matrix
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摘要 概述了两类属性约简算法,并基于可辨矩阵首次提出了差别矩阵的定义,研究了差别矩阵的基本性质,并给出了基于差别矩阵的属性约简算法,通过与其他算法的比较得出该算法是有所改进的。 This paper summarizes two kinds of attributes reduction algorithm, brings up the definition of differentiability matrix on the basis of the discernibility matrix for the first time, and analyses its basic characters. Then gives an algorithm, and this algorithm is confirmed to have improvements by compared with the other algo- rithms.
出处 《信息技术与信息化》 2006年第6期92-94,97,共4页 Information Technology and Informatization
关键词 粗糙集 可辨矩阵 差别矩阵 约简 Rough sets Discernibility matrix Difference matrix Reduction
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  • 1王珏,苗夺谦,周育健.关于Rough Set理论与应用的综述[J].模式识别与人工智能,1996,9(4):337-344. 被引量:264
  • 2周海岩.最优集合覆盖的一种启发式算法[J].山西统计,1999,(4):22-23.
  • 3[1]Pawlak Z. Rough Sets. International Journal of Computerand Information Science, 1982,11:241 ~ 356.
  • 4[2]张文修,吴伟志,梁吉业,李德玉.粗糙集理论与方法.北京:科学出版社.2003.7
  • 5[7]Wong S K M, Ziarko W. On optimal decision rules in decision tables. Bulletin of Polish Academy of Sciences,1985,33:693 ~ 696.
  • 6Felix R, Ushio T. Rough Sets- based Machine Learning Using a Binary Disoernibility Matrix[C]. [s. 1. ]: IPMM, 1999. 299- 305.
  • 7Pawlak Z. Rough sets-theoretical aspects of reasoning about data. Dordrecht: Kluwer Academic Publishers, 1991
  • 8Felix R,Ushio T. Rough Sets-based Machine Learning Using a Binary Discernibility Matrix. IPMM;' 99 published, 1999. 299~305
  • 9Dimitras A I,Slow inski R,Susmaga R,Zopounidis C.Busines sfailure prediction using rough sets[J].European Journal of Operational Research.1999,114(2):263-280.
  • 10Hong T P,Wang T T,Wang S L,Chien B L.Learning a coverage set of maximally general fuzzy rules by rough sets[J].Expert Systems with Application.2000,19(2):97-103.

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