چکیده :

In this paper, we introduce a new pair of t-norm/snorm, which are both differentiable. The two norms have the property that they satisfy De Morgan laws of complementing the intersection or union of sets, when t-norm and s-norm are considered respectively as fuzzy intersection and union operators. The Proposed norms are then applied to a function approximation problem, which is accomplished using a neuro-based approach to fuzzy relational equations

کلید واژگان :

smooth/differentiable s-norms/t-norms; function approximation; fuzzy relational equations; fuzzy relational neural network.



ارزش ریالی : 300000 ریال
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