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
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;
Conference_Titel :
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-5877-5
DOI :
10.1109/FUZZY.2000.838681
