• DocumentCode
    1652048
  • Title

    Inducing rules considering inclusion relations between conclusions

  • Author

    Inuiguchi, Masahiro ; Kusunoki, Yoshifumi ; Inoue, Masanori

  • Author_Institution
    Grad. Sch. of Eng. Sci., Osaka Univ., Toyonaka, Japan
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In rough set literatures, methods for inducing minimal rules from a given decision table have been proposed. When the decision attribute is ordinal, inducing rules about upward and downward unions of decision classes is advantageous in the simplicity of obtained rules. However, because of independent applications of the rule induction method, inclusion relations among upward/downward unions in conclusion parts are not inherited to the condition parts of obtained rules. This non-inheritance may debase the quality of obtained rules. To ensure that inclusion relations among conclusions are inherited to conditions, we have proposed rule induction approaches. In this paper, the performances of the proposed approaches considering the inclusion relations between conclusions are further examined by numerical experiments.
  • Keywords
    decision tables; knowledge based systems; learning by example; relational algebra; rough set theory; conclusion; decision class; decision table; inclusion relation; minimal rule; rough set literature; Accuracy; Approximation algorithms; Approximation methods; Educational institutions; Set theory; Switches; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Industrial Engineering (CIE), 2010 40th International Conference on
  • Conference_Location
    Awaji
  • Print_ISBN
    978-1-4244-7295-6
  • Type

    conf

  • DOI
    10.1109/ICCIE.2010.5668272
  • Filename
    5668272