• DocumentCode
    441873
  • Title

    Evaluation criteria on down-compatibility degree of fuzzy inference mechanism

  • Author

    Deng, Chao ; Guo, Mao-zu ; Wang, Ya-dong

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China
  • Volume
    4
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    2418
  • Abstract
    Being not down-compatible with classical two-value logic inference mechanism, fuzzy inference mechanism (FIM) would get absurd conclusions even in the simplest cases. To strictly evaluate down-compatibility degree and to build new FIM with high down-compatibility degree, a series of formulized criterions are presented based on compatibility of truth space and match modes, and logic consistence of conclusions derived by homologous composite premises from different FIMs. These criteria could offer both formal evaluation scales and revise guidelines. According to these criteria, some FIMs are lower in terms of down-compatibility degree and then revised up to the highest degree under its guidelines.
  • Keywords
    formal logic; fuzzy reasoning; down-compatibility degree; formal evaluation scales; fuzzy inference mechanism; logic conclusion consistence; match modes; truth space; two-value logic inference mechanism; Chaos; Computer science; Decision making; Fuzzy logic; Fuzzy systems; Guidelines; Hybrid intelligent systems; Inference mechanisms; Intelligent robots; Logic testing; Fuzzy inference mechanism; down-compatibility; truth assignment; two-value logic inference mechanism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527350
  • Filename
    1527350