• DocumentCode
    351319
  • Title

    A resolution procedure based on a fuzzy logic

  • Author

    Jun, Liu ; Zhenming, Song ; Keyun, Qin

  • Author_Institution
    Dept. of Appl. Math., Southwest Jiaotong Univ., Sichuan, China
  • Volume
    1
  • fYear
    2000
  • fDate
    7-10 May 2000
  • Firstpage
    191
  • Abstract
    As the use of non-classical logics become increasingly important in computer science, artificial intelligence and logic programming, the development of efficient automated theorem proving based on non-classical logic is currently an active area of research. The paper aims at the resolution principle for the Pavelka type fuzzy logic. Pavelka had shown in 1979 that the only natural way of formalizing fuzzy logic for truth values in the unit interval [0, 1] is by using Lukasiewicz´s implication operator, in short L. So we firstly focus on the resolution principle for Lukasiewicz logic L. Some limitations of classical resolution and resolution procedures for some fuzzy logics are analyzed. Then some preliminary ideals about combining resolution procedure with the implication connectives in L are given. Moreover, a resolution-like rule, i.e., MP rule is proposed. By use of the MP rule, a resolution procedure in L is proposed and the soundness theorem of this resolution procedure is also proved. Finally, we apply the resolution to a Horn clause with truth-value in an enriched residuated lattice as Pavelka (1979) discussed
  • Keywords
    Horn clauses; fuzzy logic; theorem proving; Lukasiewicz logic; Lukasiewicz´s implication operator; Pavelka type fuzzy logic; automated theorem proving; nonclassical logics; resolution principle; resolution procedure; truth values; Artificial intelligence; Calculus; Computer science; Expert systems; Fuzzy logic; Knowledge engineering; Lattices; Logic programming; Mathematics; Multivalued logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-5877-5
  • Type

    conf

  • DOI
    10.1109/FUZZY.2000.838657
  • Filename
    838657