It is essential for applications with high human interaction (decision support systems in medicine, eco- nomics, etc). The use of accuracy indices to guide the ...
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What is interpretability in fuzzy systems?
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In many real-world applications, fuzzy systems are designed through data-driven design techniques which, however, often carry out precise systems that are not ...
Interpretable fuzzy systems show a clear advantage over black-box systems in providing knowledge that is capable of explaining complex and nonlinear ...
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An Experimental Study on the Interpretability of Fuzzy Systems - Abstract-- Interpretability is one of the most significant properties of Fuzzy Systems ...
Looking for a good fuzzy system interpretability index: An experimental approach ... fuzzy models for fuzzy ordered classification: an ecological case study.
A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems ... Int. J. Approx.
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May 18, 2020 · Looking for a good fuzzy system interpretability index: an experimental approach. ... design in the creation of fuzzy logic systems - a user study ...
... The paper [3] addresses a variety of issues related to advances in control techniques for electric drives in emerging fields such as electric vehicles, UAVs ...
This premise is examined using a genetic fuzzy framework. The interpretability of fuzzy systems is oftentimes put forward as a unique advantageous feature ...
Oct 15, 2011 · J.M. Alonso et al. Looking for a good fuzzy system interpretability index: an experimental approach. International Journal of Approximate ...