Expert Systems with Applications: An International Journal
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Information Sciences: an International Journal
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Crisp classifiers vs. fuzzy classifiers: a statistical study
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Fuzzy rule classifier: Capability for generalization in wood color recognition
Engineering Applications of Artificial Intelligence
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Efficient Distributed Genetic Algorithm for Rule extraction
Applied Soft Computing
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
Pattern Recognition Letters
IEEE Transactions on Fuzzy Systems
Nonparametric statistical analysis of machine learning algorithms for regression problems
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
IEEE Transactions on Evolutionary Computation
Two algorithmic enhancements for the parallel differential evolution
International Journal of Innovative Computing and Applications
IPADE: iterative prototype adjustment for nearest neighbor classification
IEEE Transactions on Neural Networks
Knowledge acquisition in fuzzy-rule-based systems with particle-swarm optimization
IEEE Transactions on Fuzzy Systems
Evolutionary selection of hyperrectangles in nested generalized exemplar learning
Applied Soft Computing
A preliminary study on the selection of generalized instances for imbalanced classification
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Intelligent data analysis and model interpretation with spectral analysis fuzzy symbolic modeling
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
A new feature selection algorithm based on binomial hypothesis testing for spam filtering
Knowledge-Based Systems
Sensitiveness of evolutionary algorithms to the random number generator
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part I
Empirical comparison of bagging ensembles created using weak learners for a regression problem
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Evolutionary-based selection of generalized instances for imbalanced classification
Knowledge-Based Systems
A simulated annealing method based on a specialised evolutionary algorithm
Applied Soft Computing
Ockham's Razor in memetic computing: Three stage optimal memetic exploration
Information Sciences: an International Journal
Fuzzy scheduling with swarm intelligence-based knowledge acquisition for grid computing
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
GPU-Based evaluation to accelerate particle swarm algorithm
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
Information Processing and Management: an International Journal
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Compact bacterial foraging optimization
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
Contiguous binomial crossover in differential evolution
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
On employing fuzzy modeling algorithms for the valuation of residential premises
Information Sciences: an International Journal
A comparative study of efficient initialization methods for the k-means clustering algorithm
Expert Systems with Applications: An International Journal
A hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selection
Information Sciences: an International Journal
A genetic design of linguistic terms for fuzzy rule based classifiers
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Information Sciences: an International Journal
Ensemble fuzzy rule-based classifier design by parallel distributed fuzzy GBML algorithms
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
Compact Particle Swarm Optimization
Information Sciences: an International Journal
An interpretable classification rule mining algorithm
Information Sciences: an International Journal
FRPS: A Fuzzy Rough Prototype Selection method
Pattern Recognition
Feature subset selection Filter-Wrapper based on low quality data
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Information Sciences: an International Journal
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules
Information Sciences: an International Journal
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects
Information Sciences: an International Journal
The influence of global constraints on similarity measures for time-series databases
Knowledge-Based Systems
A new hybrid metaheuristic for medical data classification
International Journal of Metaheuristics
An analysis on separability for Memetic Computing automatic design
Information Sciences: an International Journal
Enhancing the search ability of differential evolution through competent leader
International Journal of High Performance Systems Architecture
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The experimental analysis on the performance of a proposed method is a crucial and necessary task to carry out in a research. This paper is focused on the statistical analysis of the results in the field of genetics-based machine Learning. It presents a study involving a set of techniques which can be used for doing a rigorous comparison among algorithms, in terms of obtaining successful classification models. Two accuracy measures for multi-class problems have been employed: classification rate and Cohen’s kappa. Furthermore, two interpretability measures have been employed: size of the rule set and number of antecedents. We have studied whether the samples of results obtained by genetics-based classifiers, using the performance measures cited above, check the necessary conditions for being analysed by means of parametrical tests. The results obtained state that the fulfillment of these conditions are problem-dependent and indefinite, which supports the use of non-parametric statistics in the experimental analysis. In addition, non-parametric tests can be satisfactorily employed for comparing generic classifiers over various data-sets considering any performance measure. According to these facts, we propose the use of the most powerful non-parametric statistical tests to carry out multiple comparisons. However, the statistical analysis conducted on interpretability must be carefully considered.