• DocumentCode
    2211589
  • Title

    Weighted Intuitionistic Fuzzy Reasoning Based on Probabilistic Information Entropy

  • Author

    Zhang, Qiansheng ; Jiang, ShengYi

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Guangdong Univ. of Foreign Studies, Guangzhou, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    3906
  • Lastpage
    3909
  • Abstract
    This paper presents a new method of bidirectional intuitionistic fuzzy reasoning by employing a weighted similarity measure between the fact and the antecedent portion of intuitionistic fuzzy production rule. Our proposed method is very simple and flexible, since it not only can deal with multidimensional intuitionistic fuzzy reasoning scheme, but also consider the different importance degree of linguistic variables in production rule and that of elements in each universe. One numerical example is given to illustrate the usefulness and feasibility of the proposed method.
  • Keywords
    computational linguistics; entropy; fuzzy reasoning; fuzzy set theory; probability; bidirectional intuitionistic fuzzy reasoning; intuitionistic fuzzy production rule; linguistic variable; multidimensional intuitionistic fuzzy reasoning; probabilistic information entropy; weighted intuitionistic fuzzy reasoning; weighted similarity measure; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Information entropy; Information science; Multidimensional systems; Paper technology; Pattern recognition; Production; Weight measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.1348
  • Filename
    5454680