抄録
There are relatively few Fuzzy Rule Interpolation (FRI) techniques can be found among the practical fuzzy rule based applications. On one hand the FRI methods are not widely known, and many of them have limitations from practical application point of view, e.g. can be applied only in one dimensional case, or defined based on the two closest surrounding rules of the actual observation (which requires a time consuming search in case of multidimensional rule base spaces). On the other hand enabling the application of sparse rule bases the FRI methods can dramatically simplify the way of fuzzy rule base creation, since FRI methods can provide reasonable (interpolated) conclusions even if none of the existing rules fires under the current observation. These methods can save the expert from dealing with derivable rules and help to concentrate on cardinal actions only, and hence simplify the rule base creation itself. Thus, compared to the classical fuzzy compositional rule of inference (CRI), the number of the fuzzy rules needed to be handled during the design process, could be dramatically reduced. In this paper, among the brief structure of several FRI methods, a simple and quick FRI method ""FIVE"" will be introduced in more details, and for demonstrating the benefits of the interpolation-based fuzzy reasoning as systematic approach, the construction of a fuzzy rule base through a simple example will be also discussed.
