Fuzzy local regression models with fuzzy clustering.
Antonio Skármeta, Humberto Martínez Barberá, Juan Antonio Botía, Miguel Delgado-Prieto · 1999
In this work we present an alternative approach to generate the fuzzy rules with multidimensional fuzzy sets in the antecedent and functional consequent associated to the TSK fuzzy model. In order to obtain the fuzzy rules we useafuzzy clustering algorithm that look for linear behaviours in the product space of the inputoutput data.