期刊文献+

决策形势背景的命题推演

Propositions reasoning of decision formal contexts
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摘要 在形势背景的基础上,通过弱化形式概念构成的条件,定义了比形式概念更为广泛的认知基本单位,即命题。基于一些基本概念如必然命题和充分命题,给出了命题的一些相关性质及各种命题间的关系,以及获取一些新命题的有效方式。通过确定一个命题的程度即确定度,探讨了基于决策形式背景中的命题推理方法,为形势背景上的不确定推理提供了一种新的认知框架。 With respect to formal context, by weakening the composition condition of a formal concept, this paper proposes that the basic unit of cognition, i.e., proposition, is wider than the current formal concept. Using the concepts of necessary proposition and sufficient proposition as a basis, we provide some related properties of a proposition and the relationship between various propositions, and propose an effective way to obtain some new propositions. Using the degree of determination of a proposition, this paper discusses the propositional reasoning in a decision formal context, and provides a new framework for uncertain reasoning in a formal context.
作者 马丽 米据生
出处 《智能系统学报》 CSCD 北大核心 2015年第6期934-937,共4页 CAAI Transactions on Intelligent Systems
基金 国家自然科学基金资助项目(61170107 61300153) 河北省高校创新团队领军人才培育计划资助项目(LJRC022)
关键词 概念格 决策形式背景 确定度 必然命题 充分命题 concept lattice decision formal context determine degree necessary proposition sufficient proposition
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参考文献10

  • 1GANTER B, WILLE R. Formal concept analysis: mathe- matical foundations[ M]. Berlin: Springer, 1999.
  • 2WILLE R. Restruturing lattice theory: an approh based on hierarhies of conepts [ M ]//RIVAL I. Ordered Sets. Nether- lands : Springer, 1982 : 445-470.
  • 3BELOHLAVEK R. Fuzzy Galois connections [ J ]. Mathemat- ical Logic Quarlerly, 1999, 45(4) : 497-504.
  • 4WEI Ling,QI JianJun,ZHANG WenXiu.Attribute reduction theory of concept lattice based on decision formal contexts[J].Science in China(Series F),2008,51(7):910-923. 被引量:36
  • 5WANG Hong, ZHANG Wenxim Approaches to knowledge reduction in generalized consistent decision formal context [J]. Mathematical and Computer Modelling, 2008, 48( 11/ 12) : 1677-1654.
  • 6LI Jinhai, MEI Changlin, LYU Yuejin. Knowledge reduc- tion in decision formal contexts [ J ]. Knowledge-Based Sys- tems, 2011, 24(5): 709-715.
  • 7CHEN Shuwei, XU Yang, MA Jun. A linguistic truth-val- ued uncertainty reasoning model based on lattice-valued log- ic [ M ]//WANG Lipo, JIN Yaochu. Fuzzy Systems and Knowledge Discovery. Berlin Heidelberg: Springer-Verlag, 2005, 3613: 276-284.
  • 8BELLAMN R E, ZADEH L A. Decision-making in a fuzzy enviroment[J]. Management Science, 1970, 17(4): B-141-B-164.
  • 9BOBILLO F, STRACCIA U. Generalized fuzzy rough descrip- tion logics [ J ]. Information Sciences, 2012, 189: 43-62.
  • 10KANEIWA K, KAMIDE N. Paraconsistent computation tree logic[ J]. New Generation Computing, 2011, 29(4) : 391-408.

二级参考文献11

  • 1ZHANG Wenxiu,WEI Ling,QI Jianjun.Attribute reduction theory and approach to concept lattice[J].Science in China(Series F),2005,48(6):713-726. 被引量:70
  • 2Wille R.Restructuring lattice theory: An approach based on hierarchies of concepts[].Ordered Sets.1982
  • 3Oosthuizen G D.The application of concept lattice to machine learning[]..1996
  • 4Ho T B.Incremental conceptual clustering in the framework of Galois lattice[].KDD: Techniques and Applications.1997
  • 5Kent R E,Bowman C M.Digital libraries,conceptual knowledge systems and the nebula interface[]..1995
  • 6Corbett D,Burrow A L.Knowledge reuse in SEED exploiting conceptual graphs[].Proceeding of th International Conference on Conceptual Graphs (ICCS’).1996
  • 7Sutton A,Maletic J I.Recovering UML class models from C++: a detailed explanation[].Inf Software Tech.2007
  • 8Siff M,Reps T.Identifying modules via concept analysis[].Proceedings of International Conference on Software Maintenance.1997
  • 9HoT B.An approach to concept formation based on formal concept analysis[].IEICE Transactions on Information and Systems.1995
  • 10Yao Y Y.Concept lattices in rough set theory[].Proceedings of Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS ).2004

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