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一种新的广义多粒度优势关系粗糙集 被引量:2

A new generalized multigranulation rough set based on dominance relation
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摘要 通过分析乐观和悲观多粒度优势关系粗糙集下近似的决策过程,提出了一种新的广义多粒度优势关系粗糙集,并将乐观多粒度优势关系粗糙集和悲观多粒度优势关系粗糙集统一到广义多粒度优势粗糙集模型中.然后,比较了这3种多粒度优势关系粗糙集的下近似、上近似和度量因子之间的关系.最后讨论了广义多粒度优势关系粗糙集的一些基本性质. On the base of the lower approximation sets,the decision-making process is analyzed by the optimism and pessimism multigranulation dominance-based rough sets. A new generalized multigranulation dominancebased rough set is put forward,and the rough sets model of the optimism and pessimism multigranulation dominance-based rough set will be unified to it. Then,the relationship of the lower approximation,the upper approximation and the measurement factors are compared among the generalized multigranulation dominance-based rough set,the optimism multigranulation rough set and pessimism multigranulation rough set. Finally some basic properties of the generalized multigranulation dominance-based rough set are discussed.
出处 《江苏科技大学学报(自然科学版)》 CAS 北大核心 2015年第6期560-566,共7页 Journal of Jiangsu University of Science and Technology:Natural Science Edition
基金 国家自然科学基金资助项目(61100116) 江苏省自然科学基金资助项目(BK2011492 BK20130472) 江苏省科技支撑项目(BE2014692)
关键词 粗糙集 多粒度 优势关系 rough sets multigranulation dominance relation
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参考文献15

  • 1Qian Y H, Liang J Y, Yao Y Y, et al. MGRS : a mul- tigranulation rough set [ J ]. Information Sciences, 2010,180(6) :949 -970.
  • 2Qian Y H, Liang J Y, Dang C Y. Incomplete multi- granulation rough set [ J ]. IEEE Transactions on Sys- tems, Man and Cybernetics, Part A, 2010, 40(2): 420 - 431.
  • 3桑妍丽,钱宇华.一种悲观多粒度粗糙集中的粒度约简算法[J].模式识别与人工智能,2012,25(3):361-366. 被引量:36
  • 4Lin G P, Qian Y H, Li J J. NMGRS: neighborhood- based multigranulation rough sets [ J ]. International Journal of Approximate Reasoning, 2012, 53 (7) : 1080 - 1093.
  • 5She Y H, He X L. On the structure of the muhigranu- lation rough set model [ J ]. Knowledge-Based Systems, 2012, 36:81-92.
  • 6Yang X B, Zhang Y Q, Yang J Y. Local and global measurements of MGRS rules [ J ]. International Jour- nal of Computational Intelligence Systems, 2012, 5 (6) : 1010 - 1024.
  • 7Qian Y H, Zhang H, Sang Y L, et al Y. Multigranula- tion decision-theoretic rough sets [ J ]. International Journal of Approximate Reasoning, 2014, 55 ( 1 ) : 225 - 237.
  • 8刘财辉.一种元素最大描述下的多粒度覆盖粗糙集模型[J].计算机科学,2013,40(12):64-67. 被引量:5
  • 9Xu W H, Sun W X, Zhang X Y, et al. Multiple gran- ulation rough set approach to ordered information sys- tems [ J ]. International Journal of General Systems, 2012, 41(5) : 475 -501.
  • 10翟永健,张宏.不完备信息系统中的优势关系多粒度粗糙集[J].南京理工大学学报,2012,36(1):66-72. 被引量:10

二级参考文献74

  • 1裴道武,傅丽.两类广义粗糙集模型[J].模式识别与人工智能,2004,17(3):281-285. 被引量:3
  • 2Pawlak Z.Rough sets—Theoretical aspects of reasoningabout data[M].London:Kluwer Academic Publishers,1991.
  • 3Pawlak Z,Skowron A.Rudiments of rough sets[J].In-formation Sciences,2007,177(1):3-27.
  • 4Pawlak Z,Skowron A.Rough sets:Some extensions[J].Information Sciences,2007,177(1):28-40.
  • 5Pawlak Z,Skowron A.Rough sets and boolean reasoning[J].Information Sciences,2007,177(1):41-73.
  • 6Leung Yee,Li Deyi.Maximal consistent block techniquefor rule acquisition in incomplete information systems[J].Information Sciences,2003,115(1):85-106.
  • 7Stefanowski J,Tsoukias A.Incomplete information tablesand rough classification[J].Computational Intelligence,2001,17(3):545-566.
  • 8Yao Yiyu.Information granulation and rough set ap-proximation[J].International Journal of IntelligentSystems 2001,16(11):87-104.
  • 9Qian Yuhua,Liang Jiye.Rough set method based onmulti-granulations[A].5th IEEE International Conferenceon Cognitive Informatics[C].Beijing:IEEE,2006:297-304.
  • 10Qian Yuhua,Liang Jiye,Dang Chuangyin.Incompletemultigranulation rough set[J].IEEE Transactions onSystems,Man and Cybernetics,Part A,2010,40(2):420-431.

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