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Autor:
Sobhi, Sayedabbas1 (AUTHOR) abbas.sobhi@ualberta.ca, Reshadi, MohammadHossein1 (AUTHOR), Zarft, Nick1 (AUTHOR), Terheide, Albert1 (AUTHOR), Dick, Scott1 (AUTHOR) sdick@ualberta.ca
Publikováno v:
Information (2078-2489). Jun2023, Vol. 14 Issue 6, p329. 16p.
Autor:
Sobhi, Sayedabbas
A number of architectures and time series forecasting algorithms use complex fuzzy sets, which are extensions of type-1 fuzzy sets. In the complex fuzzy set literature, the two most common forms of fuzzy sets are sinusoidal membership functions and c
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