Survey on Various Interpolation Based Fuzzy Reasoning Methods

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.