Fuzzy Rule Interpolation Methods and Fri Toolbox
April 27, 2019 Β· Declared Dead Β· π 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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