期刊文献+

基于区分能力大小的决策表属性约简算法(英文)

Attribute reduction algorithm based on discernibility for decision table
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摘要 The attribute reduction algorithms of decision table based on discernible matrix are required to construct discernible matrix, which reduces effciency of algorithms.In this paper, the relationship between attribute discernible matrix and its discernibility is first established for general information systems.Based on the idea that the equivalent discernible matrix has a same attribute reduction, existing matrices are modified and a formula of attribute discernibility associated with algebraic reduction for decision table is proposed.A heuristic attribute reduction algorithm based on attribute discernibility is presented.Experimental results indicate that the algorithm can more easily explore an optimal or sub-optimal reduction, and is effcient. The attribute reduction algorithms of decision table based on discernible matrix are required to construct discernible matrix, which reduces efficiency of algorithms. In this paper, the relationship between attribute discernible matrix and its discernibility is first established for general information systems. Based on the idea that the equivalent discernible matrix has a same attribute reduction, existing matrices are modified and a formula of attribute discernibility associated with algebraic reduction for decision table is proposed. A heuristic attribute reduction algorithm based on attribute discernibility is presented. Experimental results indicate that the algorithm can more easily explore an optimal or sub-optimal reduction, and is efficient.
出处 《Journal of Shanghai University(English Edition)》 CAS 2008年第6期531-536,共6页 上海大学学报(英文版)
关键词 制表 矩阵 计算机 有效性 decision table, attribute reduction, discernibility, discernible matrix, algorithm
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  • 1叶东毅,陈昭炯.一个新的二进制可辨识矩阵及其核的计算[J].小型微型计算机系统,2004,25(6):965-967. 被引量:49
  • 2杨明,孙志挥.改进的差别矩阵及其求核方法[J].复旦学报(自然科学版),2004,43(5):865-868. 被引量:71
  • 3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
  • 4王国胤.Rough集理论和知识获取[M].西安:西安交通大学出版社,2001..
  • 5张文修 等.Rough集理论与方法[M].北京:科学出版社,2001..
  • 6[5]Starzyk J, Nelson D E, Sturtz K. Reducts. A mathematical foundation for improved reduct generation in information systems. Journal of Knowledge and Information Systems, 2000, 2(2):131~146
  • 7[6]Bazan J G, Skowron A, Synak P. Dynamic reducts as a tool for extracting laws from decisions tables. In: Ras Z W, Zemankiva M eds. Methodologies for Intelligent Systems. Berlin: Springer-Verlag,1994. 346~355
  • 8[7]Ziarko W. Variable precision rough sets model. Journal of Computer and Systems Sciences, 1993, 46(1):39~59
  • 9[8]Pawlak Z. Grzymala-Busse J, Slowinski R etal. Rough sets.Communications of the ACM, 1995, 38(11): 89~95
  • 10[11]Ying Wu, Thomas S Huang. Hand moeling, analysis, and recognition. IEEE Signal Processing Magazine, 2001(5):51~60

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