• DocumentCode
    507078
  • Title

    Intuitive Implication Logic System

  • Author

    Wang, Hongguang ; Li, Na ; Du, Guoping

  • Author_Institution
    Inst. of Modern Logic & its Applic., Nanjing Univ., Nanjing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    252
  • Lastpage
    256
  • Abstract
    One key matter we meet when classical logic is used in analysis and information mining to massive knowledge system is the problem of Scotus Law. Up to the present, the existent resolvents are far from our logical intuition. This paper gives a new strategy - to build an intuitive implication logic system, D, in which: (I) the property of implication should be in accordance with intuition; (II) the fundamental laws of classical logic should be reserved; (III) the properties of negation and conjunction should not be changed; (IV) Scotus Law should not generally hold. Then, basing on the strict formal semantics, we demonstrate the soundness and consistency of system D.
  • Keywords
    data mining; formal logic; Scotus Law; formal semantics; information mining; intuitive implication logic system; logical intuition; massive knowledge system; Formal languages; Fuzzy logic; Fuzzy systems; Information analysis; Knowledge based systems; Scotus Law; consistency; intuitive implication; soundness; systemD;
  • 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.2009.529
  • Filename
    5359447