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不完备决策表的扩展差别矩阵规则获取方法 被引量:1

Rule acquisition method based on extended discernibility matrix in incomplete decision table
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摘要 针对不完备决策表,通过引入扩展差别矩阵,利用基数排序对广义决策值进行划分,只比较广义决策值不同的对象,并且记录对应的条件属性值,克服了计算过程中反复检查属性值对与广义决策值是否冲突的缺点,从而优化了算法。实例分析结果说明了该方法的正确性和优越性。 Aiming at incomplete decision table,the extended discernibility matrix is introduced.The generalized decision value is partitioned by making use of radix sorting,the results are only to compare the objects with different decision values in the calculating process,and record condition attribute value pairs directly,so that the shortcoming of checking the conflicts between attribute value and generalized decision value repeat is overcame.Therefore,the algorithm is optimized.Finally,an ex- ample is used to illustrate the advantage and convenience of the new algorithm.
出处 《计算机工程与应用》 CSCD 北大核心 2011年第34期125-126,148,共3页 Computer Engineering and Applications
基金 国家自然科学基金(No.60963008) 广西自然科学基金(No.2011GXNS-FA018163) 广西研究生教育创新计划项目~~
关键词 不完备决策表 扩展差别矩阵 广义决策 规则获取 incomplete decision table discernibility matrix generalized decision-making rules obtaining
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  • 1瞿彬彬,卢炎生.基于粗糙集的不完备信息系统规则推理算法[J].小型微型计算机系统,2006,27(4):698-700. 被引量:8
  • 2Pawlak Z.Rough sets theoretical aspect of reasoning about data[M]. Boston:Kluwer Academic Publishers,1991.
  • 3Pawlak Z.Rough sets theory and its application to data analysis[J]. Cybernetics and System,1998,9:661-668.
  • 4张蓉蓉.基于粗糙集理论的不完备信息系统知识获取的有关技术研究[D].南京:南京理工大学,2005.
  • 5Kryszkiewicz M.Rounh set approach to incomplete in formation systems[J].Information Sciences, 2001 ( 131 ) : 129-156.
  • 6Komorowski J,hrn A,Skowron A.The ROSETTA rough set software system[M].In Handbook of Data Mining and Knowledge Discovery,Lendon:Oxford University Press,2002.
  • 7Clark P,Niblett T.The CN2 induction algorithm[J].Machine Learning,1989,3(4):261-283.
  • 8Grzymala-Busse J W.On the unknown attribute values in learning from examples[C].In:Proc.of the ISMIS-91,In:6th Internetional symposium on Methodologies for Intelligent Systems,1991,Lecture Notes in Artifical Intelligence,vol 542,Springer-Verlag,Berlin Heidelberg New York,1991:368-377.
  • 9Pawlak Z.Rough sets[J].Internetional Journal of Computer Information Science,1982,11:341-356.
  • 10Guo Jia-yuarn.Vira chankong rough set-based approach to rule generation and rule induction[J].International Journal of General Systems,2002,31(6):601-617.

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