• DocumentCode
    256691
  • Title

    Attribute Reduction for Set-Valued Ordered Fuzzy Decision System

  • Author

    Zhongkui Bao ; Shanlin Yang

  • Author_Institution
    Sch. of Manage., Hefei Univ. of Technol., Hefei, China
  • Volume
    2
  • fYear
    2014
  • fDate
    26-27 Aug. 2014
  • Firstpage
    96
  • Lastpage
    99
  • Abstract
    Attribute reduction for set-valued ordered fuzzy decision system that considers attributes with preference-ordered domains and fuzzy decision attributes is investigated. Firstly, a δ-dominance relation is proposed, and δ-dominance relation-based rough fuzzy set model is defined for set-valued ordered fuzzy decision system. Then, judgment theorem of attribute consistent set is derived, and attribute reduction approach based on the discernibility matrices is proposed to eliminate redundant attributes that are not essential from the view of fuzzy decisions. Finally, an example is given to illustrate the results.
  • Keywords
    decision theory; fuzzy set theory; δ-dominance relation-based rough fuzzy set model; attribute consistent set; attribute reduction approach; discernibility matrices; fuzzy decision attributes; judgment theorem; preference-ordered domains; redundant attributes; set-valued ordered fuzzy decision system; Approximation methods; Artificial intelligence; Data models; Educational institutions; Information systems; Rough sets; δ -dominance relation; attribute reduction; rough fuzzy set; set-valued ordered fuzzy decision system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4956-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2014.126
  • Filename
    6911457