• DocumentCode
    428404
  • Title

    Uncertainty reasoning based on lattice-valued first-order logic Lvfl

  • Author

    Chen, Shuwei ; Xu, Yang

  • Author_Institution
    Intelligent Control Dev. Center, Southwest Jiaotong Univ., Chengdu, China
  • Volume
    3
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    2237
  • Abstract
    Uncertainty reasoning is one of the important issues of many research fields, such as artificial intelligence, knowledge-based systems, data mining etc.. This paper proposes the theory of uncertainty reasoning in the "If...then..." type uncertainty reasoning mode based on the lattice-valued first-order logic Lvfl. The "If...then..." rule presented here is the rule in which both antecedent and consequence are L-type lattice-valued formula sets. Two uncertainty reasoning methods, which are reasonable due to their strict semantic interpretation and strict syntactical deduction, are proposed in the lattice-valued first-order logic Lvfl.
  • Keywords
    formal logic; uncertainty handling; L-type lattice-valued formula sets; artificial intelligence; data mining; knowledge-based systems; lattice-valued first-order logic Lvfl; strict semantic interpretation; strict syntactical deduction; uncertainty reasoning; Algebra; Humans; Information processing; Intelligent control; Intelligent systems; Knowledge based systems; Lattices; Logic functions; Machine intelligence; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2004 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-8566-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2004.1400661
  • Filename
    1400661