• DocumentCode
    2148391
  • Title

    A Method for Incremental Updating Approximations Based on Variable Precision Set-Valued Ordered Information Systems

  • Author

    Chen, Hongmei ; Li, Tianrui ; Zhang, Junbo

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2010
  • fDate
    14-16 Aug. 2010
  • Firstpage
    96
  • Lastpage
    101
  • Abstract
    Set-valued information systems are a general model of single-valued information systems. Set-valued ordered information systems can be defined based on the inclusion relation between attribute values of objects. Firstly, a variable precision set-valued ordered rough set model is proposed in this paper by introducing the variable precision rough set method into set-valued ordered information systems. Next, the definitions of attribute value coarsening and refining are presented. Then the principle of incremental updating dominating classes in variable precision set-valued ordered information systems is discussed. Furthermore, the principle of incremental updating approximations is proposed. Finally, an example is given to explain the proposed methods of incremental updating.
  • Keywords
    artificial intelligence; information systems; rough set theory; incremental updating approximations; rough set model; single valued information systems; variable precision set valued ordered information systems; Approximation methods; Automatic voltage control; Diseases; Information science; Information systems; Refining; Semantics; attribute coarsening and refining; granular computing; incremental updating; set-valued information systems; set-valued ordered relation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2010 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-7964-1
  • Type

    conf

  • DOI
    10.1109/GrC.2010.115
  • Filename
    5576184