• DocumentCode
    2246043
  • Title

    Situation-dependent fuzzy rating based on analogical reasoning

  • Author

    Hayashi, Atsushi ; Onisawa, Takehisa

  • Author_Institution
    Graduate Sch. of Syst. & Inf. Eng., Tsukuba Univ., Ibaraki, Japan
  • Volume
    2
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Firstpage
    675
  • Abstract
    A rating scale method is used for the subjective evaluation and the rating scale method with fuzzy theory is called fuzzy rating. This paper proposes situation-dependent fuzzy rating based on analogical reasoning which applies analogy to the fuzzy rating considering situations. Proposed method assumes that mapping as analogy exists between situations and that fuzzy sets expressing categories in one situation are obtained by those expressing same categories in another situation and analogical reasoning. The usefulness of the presented method is confirmed by the experiments comparing fuzzy sets obtained by the conventional fuzzy rating with those obtained by the presented method. Similarity and the width of a fuzzy set are used for the comparison. Experimental results show that both fuzzy sets are similar and that the presented method is useful for the situation-dependent fuzzy rating.
  • Keywords
    case-based reasoning; fuzzy reasoning; fuzzy set theory; analogical reasoning; fuzzy set theory; rating scale method; situation dependent fuzzy rating method; subjective evaluation; Artificial intelligence; Educational institutions; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Object detection; Psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-8353-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2004.1375479
  • Filename
    1375479