By Topic

Towards faster, smoother, and more compact fuzzy approximation, with an application to non-destructive evaluation of space shuttle's structural integrity

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yeung Yam ; Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong ; R. Osegueda ; V. Kreinovich

It is known that fuzzy systems are universal approximators, i.e., any input-output system can be approximated, within any given accuracy, by a system described by fuzzy rules. Fuzzy rules work well in many practical applications. However, in some applications, the existing fuzzy rule approximation techniques are not sufficient. First, in many practical problems (e.g., in many control applications), derivatives of the approximated function are very important, and so, we want not only the approximating function to be close to the approximated one, but we also want their derivatives do be close; however, standard fuzzy approximation techniques do not guarantee the accuracy of approximating a derivative. Second, to get the desired approximation accuracy, we sometimes need unrealistically many rules. We show how both problems can be solved

Published in:

Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American

Date of Conference:

Jul 1999