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不一致决策系统中约简之间的比较 被引量:28

Comparison of Various Types of Reductions in Inconsistent Systems
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摘要 本文在相关文献的基础上研究了不一致决策系统中绝对约简、各种相对约简之间的关系,包括相对于个体的约简和相对于整个决策系统的约简.证明了μ-决策约简等价于信息论意义下的相对约简. In this paper we investigate relations among absolute reduction and relative reductions,including reductions corresponding to objects and reductions corresponding to decision systems in inconsistent decision systems. Furthermore, we prove that μ- decision reduct is equal to relative reduct in the view of information theory.
出处 《电子学报》 EI CAS CSCD 北大核心 2007年第2期252-255,共4页 Acta Electronica Sinica
基金 铁道部科技研究开发计划(No.2005X002) 北京交通大学基金(No.2003SZ003)
关键词 粗糙集 决策系统 绝对约简 相对约简 信息熵 rough sets decision system absolute reduction relative reduction information entropy
  • 相关文献

参考文献9

  • 1Kryszkiewicz M. Comparative studies of alternative type of knowledge reduction in inconsistent systems [ J]. International Journal of Intelligent Systems,2001,16(1) : 105 - 120.
  • 2Pawlak Z. Rough sets-Theoretical Aspect of Reasoning about Data[ M]. Dordrecht: Kluwer Academic Publishers. 1991.
  • 3Wang G Y. Rough reduction in algebra view and information view[ J]. International Journal of Intelligent Systems, 2003, 18(6) :679 - 688.
  • 4WangG Y,Zhao J,et al. Theoretical study on attribute reduction of rough set theory:in algebra view and informnation view [ A]. Third International Conference on Cognitive Informatics (ICCI201M) IC]. Canada,2004. 148 - 155.
  • 5Inuiguchi M. Structure-based approaches to attribute reduction in variable pricision rough set models [ A ]. IEEE International Conference on Granular Computing 2005(IEEE Grc2005) [ C]. Beijing, 2005.34 - 39.
  • 6张文修,米据生,吴伟志.不协调目标信息系统的知识约简[J].计算机学报,2003,26(1):12-18. 被引量:190
  • 7王国胤.决策表核属性的计算方法[J].计算机学报,2003,26(5):611-615. 被引量:217
  • 8王国胤.不相容决策信息系统属性核的研究[J].上海交通大学学报,2004,38(12):2094-2098. 被引量:13
  • 9刘清.Rough集及Rough推理[M].北京:科学出版社,2001..

二级参考文献13

  • 1[1]Pawlak Z. Rough Sets: Theoretical Aspects of Reasoning a bout Data. Boston: Kluwer Academic Publishers,1991
  • 2[6]Ziarko W. Variable precision rough set model. Journal of Computer and System Sciences,1993,46(1):39~59
  • 3[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
  • 4[8]Slezak D. Approximate reducts in decision tables. In: Proceedings of IPMU' 96 ,Granada,Spain, 1996,3:159~ 1164
  • 5[9]Quafatou M. α-RST: A generalization of rough set theory. In formation Sciences,2000,124(1~4) :301~316
  • 6[10]Kryszkiewicz M. Comparative studies of alternative type of knowledge reduction in inconsistent systems. International Journal of Intelligent Systems, 2001,16(1): 105~120
  • 7Pawlak Z, Grzymala-Busse J, Slowinski R, et al. Rough sets[J] . Communication of the ACM, l995, 38(11): 89-95.
  • 8Wang G Y. Algebra view and information view of rough sets theory[A]. Data Mining and Knowledge Discovery: Theory, Tools, and Technology III[C]. Bellingham: SPIE-The International Society for Optical Engineering, 2001. 200-207.
  • 9Wang G Y, Yu H, Yang D C, et al. Knowledge reduction based on rough set and information entropy[A]. Proceedings of World Multiconference on Systemics, Cybernetics and Informatics[C]. Orlando: IIIS, 2001. 555-560.
  • 10Hu X H, Cercone N. Learning in relational databases: a rough set approach[J]. Computational Intelligence, 1995, 11(2): 323-337.

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引证文献28

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