Abstract
We first argue that regular fuzzy neural nets, based on standard fuzzy arithmetic and the extension principle, cannot be universal approximators. This negative result is surprising since (regular) neural nets are universal approximators. We then argue that hybrid fuzzy neural nets, not necessarily based on standard fuzzy arithmetic, can be universal approximators.
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