Fuzzy Rule Interpolation Methods and Fri Toolbox

April 27, 2019 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Maen Alzubi, Zsolt Csaba JohanyΓ‘k, Szilveszter KovΓ‘cs arXiv ID 1904.12178 Category cs.AI: Artificial Intelligence Citations 11 Venue arXiv.org Last Checked 4 months ago
Abstract
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 JohanyΓ‘k 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].
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