• DocumentCode
    2109803
  • Title

    Dominance-based multi-granulation rough sets and decision rules extraction in incomplete fuzzy information systems

  • Author

    Xuelan Zeng ; Lisha Wu ; Shizhou Weng

  • Author_Institution
    Sch. of Math. & Inf. Sci., Guangxi Univ., Nanning, China
  • fYear
    2013
  • fDate
    23-25 July 2013
  • Firstpage
    135
  • Lastpage
    139
  • Abstract
    Multi-granulation rough set (MGRS) is a new research direction of rough set theory in recent years. This paper introduces the MGRS into the incomplete fuzzy information systems based on dominance relation. A model of dominance-based multi-granulation rough set (DMGRS) is established. Then a number of important properties are obtained. Moreover, a conclusion is presented by comparing the approximation accuracy between single granulation space and multi-granulation space, which indicates that the approximation accuracy will enlarge as the number of granulations increasing. Finally, three forms of “OR” decision rules are investigated.
  • Keywords
    decision making; fuzzy set theory; fuzzy systems; granular computing; information systems; knowledge acquisition; rough set theory; OR decision rules; approximation accuracy; decision rule extraction; dominance relation; dominance-based multigranulation rough sets; incomplete fuzzy information systems; multigranulation space; rough set theory; Accuracy; Approximation methods; Computational modeling; Computers; Educational institutions; Information systems; Rough sets; approximation accuracy; decision rules; dominance relation; incomplete fuzzy information systems; multi-granulation rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/FSKD.2013.6816181
  • Filename
    6816181