By Topic

Enhanced Interval Type-2 Fuzzy Logic Systems with Improved the Output Processing Using Uncertainty Bounds

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
$31 $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

1 Author(s)
Rezaee, B. ; Dept. of Ind. Eng., Amirkabir Univ. of Technol., Tehran

It is known that type-2 fuzzy sets let us to model and to minimize the effects of uncertainties in rule-based fuzzy logic system (FLS). While a type-2 FLS has the capability to model more complex relationships, the output of a type-2 fuzzy inference engine needs to be type-reduced. As type-reduction is very computationally intensive, type-2 FLSs may not be suitable for certain real-time applications. This paper aims at developing more computationally efficient output processing consists of type-reduction followed by defuzzification. The type-reduced set is approximated by linear combinations of the inner- and outer-bound sets for the type-reduced set and also the crisp output of type-2 FLS is computed by another. Parameters of these functions are determined during the training phase. By this approach type-2 FLSs can handle such uncertainties in a better way because they provide us with more parameters and more design degrees of freedom. Simulation is presented to demonstrate that the proposed type-reducing and defuzzification algorithms have lower computational cost and better performances than the Karnik-Mendel and Wu-Mendel algorithms.

Published in:

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on  (Volume:5 )

Date of Conference:

18-20 Oct. 2008