Revistes Catalanes amb Accés Obert (RACO)

Fuzzy inference using a least square model

Humberto Nicanor Bustince Sola, M. Calderón, Mª Victoria Mohedano Salillas

Resum


In this paper, the method of least squares is applied to the
fuzzy
inference rules. We begin studying the conditions in which from a fuzzy set
we can build another
through the method of least squares. Then we apply this technique in order
to evaluate the
conclusions of the generalized modus ponens. We present different theorems and examples that demonstrate the fundamental advantages of the method studied.

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