By Topic

Uncertainty versus choice in rule-based fuzzy logic systems

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

2 Author(s)
J. M. Mendel ; Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA ; Hongwei Wu

We demonstrate that some of the so-called uncertainties that may be present in a rule-based fuzzy logic system (FLS) are not uncertainties, but are instead choices that must be made as a result of the rich variety of mathematical models associated with the various elements of a FLS. We have established a hierarchy for the uncertainties and the choices, one that will hopefully guide us in developing FLS models that can better account for all sources of uncertainties than do present models. It seems that, at the very least, we must account for the uncertainties present in all rule-words, including connector words. This can be accomplished by using type-2 fuzzy sets for antecedent and consequent words and parametric operators for connector words

Published in:

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on  (Volume:2 )

Date of Conference: