• DocumentCode
    3394607
  • Title

    Satisfaction measure for result in fuzzy reasoning and retrieval an attempt towards the application of fuzzy logic as the "brainware" of the Internet

  • Author

    Ding, Liya ; Mukaidono, Masao

  • Author_Institution
    Inst.of Syst. Sci., Nat. Univ. of Singapore, Singapore
  • Volume
    4
  • fYear
    2001
  • fDate
    25-28 July 2001
  • Firstpage
    2200
  • Abstract
    Reasoning and retrieval based on uncertain information and imprecise knowledge is often requested in designing and developing intelligent information systems. As a recent trend, the ideas of fuzzy logic have also been widely used in searching the Internet. An important issue for these applications is to equip the reasoning and retrieval with the capability of transmitting the uncertainty from imprecise requirements to a conclusion at a reasonable level of belief and satisfaction. In this paper, we discuss the concept of a satisfaction measure in fuzzy reasoning and retrieval
  • Keywords
    Internet; deductive databases; fuzzy logic; inference mechanisms; relevance feedback; uncertainty handling; Internet brainware; Internet searching; belief level; conclusion; fuzzy logic; fuzzy reasoning; fuzzy retrieval; imprecise knowledge; imprecise requirements; intelligent information systems; results satisfaction measure; uncertain information; Application software; Computer science; Databases; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Information retrieval; Information systems; Intelligent systems; Internet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-7078-3
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2001.944411
  • Filename
    944411