SURVEY ON VARIOUS INTERPOLATION BASED FUZZY REASONING METHODS
Zsolt Csaba Johanyák, Szilveszter Kovács · 2006
Abstract. Approximate fuzzy reasoning methods serves the task of inference in case of fuzzy systems built on sparse rule bases. This paper is a part of a longer survey that aims to provide a qualitative view through the various ideas and characteristics of interpolation based fuzzy reasoning methods. It also aims to define a general condition set for fuzzy rule interpolation methods brought together from an application-oriented point of view. The methods being presented also can be applied in the first level of systems built on hierarchical fuzzy rule bases.