DocumentCode
351332
Title
Interval type-2 fuzzy logic systems
Author
Liang, Qilian ; Mendel, Jerry M.
Author_Institution
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Volume
1
fYear
2000
fDate
7-10 May 2000
Firstpage
328
Abstract
We propose an efficient and simplified method to compute the input and antecedent operations for interval type-2 FLSs using the concept of upper and lower membership functions (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 non-stationary time-series is corrupted by additive noise where SNR is uncertain, and demonstrate improved performance over type-1 FLSs
Keywords
forecasting theory; fuzzy logic; fuzzy set theory; fuzzy systems; noise; time series; additive noise; antecedent operations; input operations; interval type-2 fuzzy logic systems; membership functions; nonstationary time-series; time-series forecasting; Fires; Fuzzy logic; Fuzzy sets; Marine vehicles; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1098-7584
Print_ISBN
0-7803-5877-5
Type
conf
DOI
10.1109/FUZZY.2000.838681
Filename
838681
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