  FRI methods are less popular in the practical application domain. One
possible reason is the missing common framework. There are many FRI methods
developed independently, having different interpolation concepts and features.
One trial for setting up a common FRI framework was the MATLAB FRI Toolbox,
developed by Johany\'ak et. al. in 2006. The goals of this paper are divided as
follows: firstly, to present a brief introduction of the FRI methods. Secondly,
to introduce a brief description of the refreshed and extended version of the
original FRI Toolbox. And thirdly, to use different unified numerical benchmark
examples to evaluate and analyze the Fuzzy Rule Interpolation Techniques (FRI)
(KH, KH Stabilized, MACI, IMUL, CRF, VKK, GM, FRIPOC, LESFRI, and SCALEMOVE),
that will be classified and compared based on different features by following
the abnormality and linearity conditions [15].
