• DocumentCode
    3583497
  • Title

    A symbolic fuzzy number approach to the propagation of uncertain statistical information in IC design

  • Author

    Styblinski, M.A. ; Gajer, P. ; Lei, J.

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    3
  • fYear
    1997
  • Firstpage
    1664
  • Abstract
    A method of handling uncertain statistical information and its (approximate) propagation through an IC is proposed, utilizing the concepts of fuzzy numbers and fuzzy arithmetic, combined with the propagation of moments method of statistical analysis, leading to a new method of propagation of fuzzy variance. A symbolic implementation of this method is proposed, allowing one to efficiently represent the relevant membership functions
  • Keywords
    circuit CAD; fuzzy set theory; integrated circuit design; method of moments; statistical analysis; symbol manipulation; IC design; fuzzy arithmetic; fuzzy variance; membership functions; propagation of moments method; statistical analysis; symbolic fuzzy number approach; uncertain statistical information; Arithmetic; Circuit synthesis; Covariance matrix; Jacobian matrices; Mathematics; Moment methods; Statistical analysis; Statistics; Uncertainty; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
  • Print_ISBN
    0-7803-3583-X
  • Type

    conf

  • DOI
    10.1109/ISCAS.1997.621453
  • Filename
    621453