期刊文献+

三元形式概念分析下的认知系统模型及信息粒转化方法 被引量:15

Cognitive system model and approach to transformation of information granules under triadic formal concept analysis
原文传递
导出
摘要 研究三元形式概念分析下的认知系统模型,提出了充分信息粒、必要信息粒及充分必要信息粒等概念,并在给定"条件"下,建立了如何将任意信息粒转换为充分信息粒、必要信息粒和充分必要信息粒的有效方法。 This study mainly focuses on cognitive system model in the framework of triadic formal concept analysis. More precisely,the notions of sufficient information granule,necessary information granule,and sufficient and necessa-ry information granule are proposed.Also,methods of transforming arbitrary information granule into sufficient,necessa-ry,and sufficient and necessary information granules are presented under the background of fixing the third dimension.
出处 《山东大学学报(理学版)》 CAS CSCD 北大核心 2014年第8期102-106,共5页 Journal of Shandong University(Natural Science)
基金 国家自然科学基金资助项目(61305057) 昆明理工大学自然科学研究基金资助项目(14118760)
关键词 三元形式概念分析 粒计算 认知系统 信息粒 粒转换 triadic formal concept analysis granular computing cognitive system information granule granule trans-formation
  • 相关文献

参考文献10

  • 1WILLE R.Restructuring lattice theory:an approach based on hierarchies of concepts [C]//Ordered Sets,RIVAL I.Dor-drecht:Reidel,1982:445-470.
  • 2王志海,胡可云,胡学钢,刘宗田,张奠成.概念格上规则提取的一般算法与渐进式算法[J].计算机学报,1999,22(1):66-70. 被引量:66
  • 3张文修,魏玲,祁建军.概念格的属性约简理论与方法[J].中国科学(E辑),2005,35(6):628-639. 被引量:194
  • 4仇国芳.基于变精度概念格的决策推理方法[J].系统工程理论与实践,2010,30(6):1092-1098. 被引量:8
  • 5李金海,吕跃进.基于概念格的决策形式背景属性约简及规则提取[J].数学的实践与认识,2009,39(7):182-188. 被引量:27
  • 6LI Jinhai,MEI Changlin,LU Yuejin.Knowledge reduction in formal decision contexts based on an order-preserving mapping [J].International Journal of General Systems,2012,41(2):143-161.
  • 7XU Weihua,PANG Jinzhong,LUO Shuqun.A novel cognitive system model and approach to transformation of information granules [J].International Journal of Approximate Reasoning,2014,55(3):853-866.
  • 8LEHMANN F,WILLE R.A triadic approach to formal concept analysis[J].Lecture Notes in Computer Science,1995,954:32-43.
  • 9BELOHLAVEK R,GLODEANU C,VYCHODIL V.Optimal factorization of three-way binary data using triadic concepts [J].Order-A Journal on the Theory of Ordered Sets and its Applications,2013,30(2):437-454.
  • 10ZADEH L A.Fuzzy sets and information granularity [ C ]//Advances in Fuzzy Set Theory and Applications.Amsterdam:North-Holland Publishing,1979.

二级参考文献36

  • 1张文修,魏玲,祁建军.概念格的属性约简理论与方法[J].中国科学(E辑),2005,35(6):628-639. 被引量:194
  • 2仇国芳,陈劲.概念格的规则约简与属性特征[J].浙江大学学报(理学版),2007,34(2):158-162. 被引量:7
  • 3Wille R. Restructuring lattice theory: An approach based on hierarchies of concepts[C]. In: Rival I, ed. Ordered Sets Dordrecht-Boston : Reidel, 1982. 445-470.
  • 4Oosthulzen G D. The Application of Concept Lattice to Machine Learning[R]. Technical Report,University of Pretoria, South Africa, 1996.
  • 5Ho T B. Incremental conceptual clustering in the framework of Galois lattice[C]. In: Lu H, Motoda H, Liu H, eds. KDD:Techniques and Applications. Singapore World Scientific,1997.49-64.
  • 6Siff M, Reps T. Identifying modules via concept analysis[C]. In: Harrold M J, Visaggio G, eds. International confercence on software maintenance. Bari, Italy Washington, DC : IEEE Computer Society, 1997.170-179.
  • 7Sehmitt I, Saake G. Merging Inheritances for scheme integration based on concept lattices[EB/OL], http://www. Mathematic. tu-dram stadt, de/ags/agl.
  • 8Belohlavk R.Concept lattices and order in fuzzy logic[J].Ann Pure Appl Logic,2004,128(1-3):277-298.
  • 9Dubois D,Prade H,Ughetoo L.A new perspective on reasoning with fuzzy rules[J].Internat J Intelligent Systems,2003,18(5):541-567.
  • 10Qiu G F.Learning models based on formal concept[C] //Yao J T,Wu W Z,Cercone Nick J.Lecture Notes in Artificial Intelligence 4481,2007:419-426.

共引文献272

同被引文献115

引证文献15

二级引证文献53

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部