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» Optimization and Interpretation of Rule-based Classifiers
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ATMOS
2011
261views Optimization» more  ATMOS 2011»
13 years 9 months ago
On the Utilisation of Fuzzy Rule-Based Systems for Taxi Time Estimations at Airports
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively new technology into airport transportation research, with a special emphasis o...
Jun Chen, Stefan Ravizza, Jason A. D. Atkin, Paul ...
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 1 months ago
Coordination number prediction using learning classifier systems: performance and interpretability
Jaume Bacardit, Michael Stout, Natalio Krasnogor, ...
KES
2000
Springer
15 years 1 months ago
Effects of antecedent pruning in fuzzy classification systems
Fuzzy classification rules are widely considered a well-suited representation of classification knowledge, as they allow readable and interpretable rule bases. The goal of this pa...
Andreas Nürnberger, Aljoscha Klose, Rudolf Kr...
68
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IIS
2000
14 years 10 months ago
Optimization and Interpretation of Rule-based Classifiers
Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membershi...
Wlodzislaw Duch, Norbert Jankowski, Krzysztof Grab...
ECSQARU
2005
Springer
15 years 2 months ago
Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
Raffaella Guglielmann, Liliana Ironi