• DocumentCode
    693109
  • Title

    The topological structure in parameterized rough sets

  • Author

    Tsang, E.C.C. ; Suyun Zhao

  • Author_Institution
    Macau Univ. of Sci. & Technol., Taipa, China
  • Volume
    02
  • fYear
    2013
  • fDate
    14-17 July 2013
  • Firstpage
    687
  • Lastpage
    692
  • Abstract
    In this paper, by strict mathematical reasoning, we discover the relation between the parameters and the reducts in parameterized rough reduction. This relation, named the nested reduction, shows that the reducts can act as a nested structure with the monotonically increasing parameter. Furthermore, we present a systematic theoretical framework which gives some basic principles to construct the nested structure in parameterized rough reduction. What is more, some specific parameterized rough set models, in which the nested reduction can be constructed, are pointed out by strict mathematics reasoning. Based on the nested reduction, we design several quick algorithms to find a different reduct when one reduct is already given. Here ´different´ means the reducts obtained on different parameters. All these algorithms are helpful to quickly finding a proper reduct in parameterized rough set models. Finally, the numerical experiments demonstrate the feasibility and the affectivity of the nested reduction approach.
  • Keywords
    rough set theory; mathematics reasoning; nested reduction; parameterized rough reduction; parameterized rough sets; topological structure; Abstracts; Artificial intelligence; Bayes methods; Integrated circuits; Ionosphere; Iris; Attribute reduction; Nested structure; Parameterized rough sets; Variable precision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
  • Conference_Location
    Tianjin
  • Type

    conf

  • DOI
    10.1109/ICMLC.2013.6890377
  • Filename
    6890377