• DocumentCode
    2949655
  • Title

    MTS Algorithm Based on Vague Set

  • Author

    Zong Peng

  • Author_Institution
    Math. & Inf. Sci. Dept., Tangshan Teachers Coll., Tangshan, China
  • fYear
    2011
  • fDate
    20-21 Aug. 2011
  • Firstpage
    257
  • Lastpage
    260
  • Abstract
    MTS is a pattern recognition method and it can only achieve a single category of identification. But Multi-class pattern recognition problem are most common in the process of pattern recognition. As decision-maker´s cognition of things is vague and uncertain and vague set is an effective way to deal with uncertainty problem, so the author tries to combine vague set with MTS to construct Multi-class pattern recognition model and give a specific steps of algorithm.
  • Keywords
    Taguchi methods; pattern recognition; set theory; Mahalanobis Taguchi system algorithm; multiclass pattern recognition problem; uncertainty problem; vague set; Arrays; Correlation; Diseases; Fuzzy sets; Medical diagnosis; Optimization; Pattern recognition; MTS; Multi-class pattern recognition; Vague set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4577-0960-9
  • Electronic_ISBN
    978-0-7695-4480-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2011.123
  • Filename
    5997429