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  • [会议论文] ,2014 - The 9th International Conference on Rough Sets and Knowledge Technology (RSKT 2014)(第九届粗糙集与知识技术国际会议)
      As a technique for granular computing,rough sets deal with the vagueness and granularity in information systems.Covering-based rough sets are natural extensions of the classical rough sets by relaxin...
    Granular computingcoveringrough setneighborhoodinclusion degreenetwork security
  • [会议论文] ,2012 - 2012 IEEE 3rd International Conference on Software Engineering and Service Science(第三届IEEE软件工程与服务科学国际会议 ICSESS2010)
    Imprecision includes fuzziness and roughness, so imprecise ontology includes fuzzy ontology and rough ontology. Through the investigation to current construction methods about fuzzy and rough ontolo...
    Semantic Webimprecise ontologyrough setfuzzy setontology constructioninclusion degree
  • [会议论文] ,2010 - 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)
    Rough set theory refers to classification of objects described by well-defined values of qualitative and quantitative attributes. In practice, however, the decision and condition attributes are ofte...
    fuzzy rough setsinclusion degreemultiple approximate spacesimilarity relation
  • [会议论文] ,2010 - 2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)
    In the largescale formal context, time efficiency will be reduced, if using semantic distance to calculate the concept similarity. In this paper, a calculation method of similarity about the concept in...
    formal concept analysisinclusion degreeconcept similarity
  • [会议论文] ,2008 - 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
    Rough set data analysis is one of the main application techniques arising from rough set theory. In this paper we first give a concept of inclusion degree and introduce some measures on rough set in pr...
    Rough setsInclusion degreeData analysisMeasureRegular probability spaces
  • [会议论文] ,2008 - 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
    In this paper, we show that the similarity between covering rough sets can be measured by means of a triangular norm. At the same time, we illustrate the proposed method with a concrete example.
    Covering rough setsTriangular normsInclusion degreeSimilarity measure
  • [会议论文] ,2007 - 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)
    In this paper, the boundary region of a rough set in theuniverse U is divided into lower and upper boundaries, and a fuzzy set is defined in the boundary region of the rough set based on the theory of ...
    Rough setsFuzzy setsInclusion degreeBoundary regionRough membership function
  • [会议论文] ,2006 - 第一届国际计算机新科技与教育学术会议(Proceedings of the First International Conference on Computer Science & Education ICCSE'2006)
    In this paper, the concepts of λ approximated fuzzy rough set and its approximation capacity are defined as well as the inclusion degree of the fuzzy sets on the universe of discourse U, aimed at the p...
    Fuzzy rough setFuzzy information systemInclusion degreeDecision-making rule
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