Fuzzy Rule Interpolation methods and FRI Toolbox

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 Johanyák 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

@article{alzubi2019fuzzy,
  title={Fuzzy rule interpolation methods and FRI toolbox},
  author={Alzubi, Maen and Johany{'a}k, Zsolt Csaba and Kov{'a}cs, Szilveszter},
  journal={arXiv preprint arXiv:1904.12178},
  year={2019}
}