• DocumentCode
    1721639
  • Title

    System Parameter Estimation and Performance Prediction Using Fuzzy-Set Theory

  • Author

    Xintao, Xia

  • Author_Institution
    Henan Univ. of Sci. & Technol., Luoyang
  • fYear
    2007
  • Abstract
    A novel method based on fuzzy-set theory, which permits the probability distribution unknown and the data number small, is introduced to overcome the defect of classical statistics. Some concepts including point and interval estimation, optimal level, empirical probability distribution and confidence level are recommended. The performance prediction in the system for application is also investigated. The validity of this method is examined by engineering experiment under the condition of small sample. The confidence level is proved to be higher than 95%.
  • Keywords
    fuzzy set theory; parameter estimation; statistical distributions; classical statistics; empirical probability distribution; fuzzy-set theory; interval estimation; performance prediction; system parameter estimation; Data engineering; Data processing; Educational institutions; Equations; Fuzzy sets; Instruments; Mechanical variables measurement; Parameter estimation; Probability distribution; Statistical distributions; Data processing; Empirical distribution function; Fuzzy-set theory; Parameter estimation; Prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-1136-8
  • Electronic_ISBN
    978-1-4244-1136-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2007.4350605
  • Filename
    4350605