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    Chapter and Conference Paper

    Covering-Based Optimistic-Pessimistic Multigranulation Decision-Theoretic Rough Sets

    Multigranulation decision-theoretic rough sets (MDTRS) is a workable model for real-world decision making. The fruitful research achievements of the use of these models have been reported in different aspects....

    Caihui Liu, ** Qian, Nan Zhang, Meizhi Wang in Rough Sets (2018)

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    Chapter and Conference Paper

    Covering-Based Optimistic Multigranulation Decision-Theoretic Rough Sets Based on Maximal Descriptors

    This paper investigates decision-theoretic rough set approach in the frameworks of multi-covering approximation space. We mainly discuss optimistic multigranulation decision-theoretic rough sets by employing m...

    Caihui Liu, Meizhi Wang, Nan Zhang in Rough Sets (2017)

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    Chapter and Conference Paper

    Optimistic Decision-Theoretic Rough Sets in Multi-covering Space

    This paper discusses optimistic multigranulation decision-theoretic rough sets in multi-covering space. First, by using the strategy “seeking commonality while preserving difference”, we propose the notion of ...

    Caihui Liu, Meizhi Wang in Rough Sets (2016)

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    Chapter and Conference Paper

    A New Subsystem-Based Definition of Generalized Rough Set Model

    The generalization of Pawlak rough set model always attracts the attentions of the researchers in the rough set society. In this paper, we propose a new subsystem-based definition of generalized rough set mode...

    Caihui Liu, Meizhi Wang, Yanfei Dai in Rough Sets, Fuzzy Sets, Data Mining, and G… (2015)

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    Chapter and Conference Paper

    Multi-granulation Rough Sets Based on Central Sets

    Exploring rough sets from the viewpoint of multi-granulation has become one of the promising topics in rough set theory, in which lower or upper approximations are approximated by multiple binary relations. Th...

    Caihui Liu, Meizhi Wang, Yujiang Liu, Min Wang in Rough Sets and Knowledge Technology (2014)