Cartesian representation for fuzzy interpolation
Yeung Yam, László Tamás Kóczy · 2002
The paper calls for representing membership functions as points in Cartesian spaces to effect fuzzy interpolation of a sparse rule base, using the positions of the characteristic points as coordinates. As such, a fuzzy rule base is converted to become a mapping between antecedent and consequent spaces, and the interpolation problem to finding an image in the consequent space for the given antecedent observation.