• DocumentCode
    507207
  • Title

    Computation of Satisfiability Degree Based on CNF

  • Author

    Hu, Pei ; Luo, Guiming ; Yin, Chongyuan

  • Author_Institution
    Sch. of Software, Tsinghua Univ., Beijing, China
  • Volume
    6
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    142
  • Lastpage
    146
  • Abstract
    Satisfiability degree extends the satisfiable property of a formula, represents the satisfiable extent of certain properties in model checking, and exhibits it sex actness and convenience for representing real-world uncertainty and fuzziness. Computation of the satisfiability degree of propositional formulas is concerned in this paper. The computation relies on truth table, avoids the obtaining of membership function in fuzzy logic and probability function in probabilistic logic, and finally obtains much exacter value than fuzzy logic and probabilistic logics. Two computation algorithms respectively based on interpretations of CNF (Conjunctive Normal Form)formulas and explanations of propositional formulas are proposed, and further improvement of the basic interpretation-based algorithm is disclosed.
  • Keywords
    computability; functions; fuzzy logic; probabilistic logic; probability; CNF; Conjunctive Normal Form; fuzziness; fuzzy logic; membership function; model checking; prepositional formulas; probabilistic logic; probability function; satisfiability degree computation; satisfiable property; truth table; uncertainty; Application software; Computer science; Distributed computing; Distribution functions; Fuzzy logic; Fuzzy sets; Fuzzy systems; Humans; Probabilistic logic; Uncertainty; CNF; horn abduction; satisfiability degree computation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.796
  • Filename
    5359813