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
Link To Document :
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