期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 8, 期 5, 页码 535-550出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/91.873577
关键词
interval type-2 fuzzy sets; nonsingleton fuzzy logic systems; time-series forecasting; tuning of parameters; type-2 fuzzy logic systems; upper and lower membership functions
In this paper, 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 mise where SNR is uncertain and demonstrate improved performance over type-1 FLSs.
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