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Fuzzy logic Systems (FLSs) are credited with providing very good performances which are able to handle the uncertainty and imprecision present in real-world environments and applications. Using type-2 FLSs can enable handling higher levels of uncertainty when compared to type-1 FLSs. The majority of the type-2 FLSs employ singleton type-2 FLSs which handle the encountered input uncertainty through...
A Fuzzy Logic System (FLS) is generally credited with being an adequate methodology for real world applications which are subject to high uncertainty levels. Recent works have shown that interval type-2 FLSs can outperform type-1 FLSs in the applications which encompass high uncertainty levels. However, the majority of interval type-2 FLSs handle the linguistic and input numerical uncertainties using...
Real world environments are characterized by high levels of linguistic and numerical uncertainties. Recently, interval type-2 Fuzzy Logic Systems (FLSs) appeared as an attractive mechanism to handle the high levels of uncertainty available in real world applications. However, the majority of the type-2 FLSs handle the linguistic and numerical uncertainties using singleton interval type-2 FLSs that...
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