• DocumentCode
    2455318
  • Title

    Research of Fuzzy Algorithm of Determining Threshold Value Based on MTS

  • Author

    Chao Kuipeng ; Zong Peng

  • Author_Institution
    Math. & Inf. Sci. Dept., Tangshan Teachers Coll., Tangshan, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    200
  • Lastpage
    202
  • Abstract
    MTS is a new pattern recognition method. Applying MTS, an unknown individual can be distinguished based on Mahalanobis space, measurement scale and threshold value. Experience threshold is often used in MTS and a reasonable threshold is necessary to MTS because an unreasonable threshold will give a wrong conclusion in practice. In this paper, the authors give the fuzzy algorithm steps to determine the threshold of MTS according to Fuzzy Set theory. An example application analysis shows that this method is a more scientific and reasonable method to determine the threshold.
  • Keywords
    fuzzy set theory; pattern recognition; MTS; Mahalanobis space; Mahalanobis-Taguchi system; fuzzy algorithm; fuzzy set theory; measurement scale; pattern recognition method; threshold value; Arrays; Correlation; Equations; Extraterrestrial measurements; Fuzzy sets; Mathematical model; Pattern recognition; Mahalanobis space; degree of membership; threshold value;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8814-8
  • Electronic_ISBN
    978-0-7695-4270-6
  • Type

    conf

  • DOI
    10.1109/ICCIS.2010.54
  • Filename
    5708921