• DocumentCode
    3301405
  • Title

    Granular computing for inconsistent decision table

  • Author

    Sujie Guan

  • Author_Institution
    Dept. of Inf. Eng., NanChang Inst. of Technol., Nanchang, China
  • fYear
    2013
  • fDate
    13-15 Dec. 2013
  • Firstpage
    126
  • Lastpage
    131
  • Abstract
    This paper defines some basic concepts. Then, this paper introduces how to convert any decision table into certain granular graph. We give visual presentation of decision table. Some relevant knowledge of graph theory is applied to granular graph and its computing for the inconsistent decision table. It is feasible and effective when granular graph is applied in describing data reduction of inconsistent decision tables. The method is simple and has visual characteristics. The paper mainly proposes a visual method for the inconsistent decision tables and describes its data reduction procedure.
  • Keywords
    data reduction; decision tables; granular computing; graph theory; rough set theory; data reduction; granular computing; granular graph theory; inconsistent decision tables; visual characteristics; visual presentation; Conferences; Electronic mail; Finite element analysis; Graph theory; Information systems; Joining processes; Visualization; granular graph; inconsistent decision table; visual presentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2013 IEEE International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GrC.2013.6740393
  • Filename
    6740393