The combination of the weighted input values can be replaced by a combination based on operation such as T-norms, noted , or T-conormes, noted . This modification leads to a structure of fuzzy neuron, based on fuzzy operators.

Using fuzzy logical neurons, the output is more or less influenced by the values of inputs. This influence depends on both the weights and the operation of fusion:

• for a neuron of type AND, the influence of its inputs having a weak weight is most important
• for a neuron of type OR the inputs whose weight is significant are rather taken into account.

This defined the interval of possible values for the output.

The expression of the output y of a neuron with N inputs of type AND is given by:

The expression of the output y of a neuron with N inputs of type OR is given by:

Hybrid neurons with traditional arithmetic functions and triangular norms and conorms can be used. The output may be carried out using a function of activation of sigmoid type for example.