Neuro-fuzzy networks: adaptive fuzzy modeling and control

In this paper, a quantum neuro-fuzzy classifier (QNFC) for classification applications is proposed. The proposed QNFC model is a five-layer structure, which combines the compensatory-based fuzzy reasoning method with the traditional Takagi---Sugeno---...

In this survey article, we first introduce the concept of quasi-coincidence of a fuzzy interval value with an interval valued fuzzy set. This concept is a generalized concept of quasi-coincidence of a fuzzy point within a fuzzy set. By using this new ...

The system uses interval type-2 fuzzy sets in premises and consequences of rules.The system uses several interval type-2 fuzzy implications.The system applies logical interpretation to fuzzy rules.The paper is accompanied by numerical examples.The ...