Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems.
We introduce a new class of operators called quasi-triangular norms. They are denoted by H and parameterized by a parameter ν:H(a1,a2,...,an;ν). From the construction of function H, it follows that it becomes a t-norm for ν=0 and a dual t-conorm for ν=1. For ν close to 0, function H resembles a t-no...
| Publicat a: | IEEE Transactions on fuzzy systems 13, 1 (2005). |
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| Autor principal: | |
| Format: | Article |
| Idioma: | English |
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