• DocumentCode
    2893960
  • Title

    A Boolean Pruning Method for Improving Tableau Reasoning Efficiency in First-Order Multiple-Valued Logics

  • Author

    Liu, Quan ; Cui, Zhi-ming ; Sun, Ji-gui ; Yu, Wan-Jun

  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    2548
  • Lastpage
    2553
  • Abstract
    Tableau method with quantifiers in first-order multiple-valued logic has uniform rules of extension, and sound and completeness have been proved by Zabel and so on. The number of branches increases in exponent with the increasing of truth-value, which will affect the performance efficiency of machine. A Boolean pruning method is proposed in this paper, which simplified the extended rules of logic formula with quantifiers in first-order multiple-valued greatly by linking the signed formula and upper/lower bound of set. In addition, through the analyzing of Boolean pruning method, simplified tableau reasoning method for a kind of special regular logic formulae in first-order multiple-valued was founded, which made logic tableau reasoning method with quantifiers in first-order multiple-valued is similar to classical logic tableau method
  • Keywords
    Boolean algebra; inference mechanisms; multivalued logic; Boolean pruning method; first-order multiple-valued logics; regular logic formula; simplified logic tableau reasoning method; Boolean functions; Computer science; Computer science education; Cybernetics; Educational institutions; Educational technology; Fuzzy logic; Knowledge engineering; Laboratories; Logic functions; Machine learning; Sun; Multiple-valued logics; Quantifier; Regular formula; Tableau method; Upper/lower set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.258847
  • Filename
    4028493