Referenced Items are not available for this document.
We present the theory and design of interval type-2 fuzzy logic systems (FLSs). We propose an efficient and simplified method to compute the input and antecedent operations for interval type-2 FLSs: one that is based on a general inference formula for them. We introduce the concept of upper and lower membership functions (MFs) and illustrate our efficient inference method for the case of Gaussian primary MFs. We also propose a method for designing an interval type-2 FLS in which we tune its parameters. Finally, we design type-2 FLSs to perform time-series forecasting when a nonstationary time-series is corrupted by additive noise where SNR is uncertain and demonstrate an improved performance over type-1 FLSs
Published in:
Fuzzy Systems, IEEE Transactions on
(Volume:8
,
Issue:
5
)
Date of Publication: Oct 2000
- Page(s):
- 535 - 550
- ISSN :
- 1063-6706
- INSPEC Accession Number:
- 6740956
- Digital Object Identifier :
- 10.1109/91.873577
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Oct 2000
- Sponsored by :
- IEEE Computational Intelligence Society
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