Publications
Additive similarity and dissimilarity measures,
, Fuzzy Sets and Systems, Volume 322, p.35 - 53, (2017)
An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia,
, Neurocomputing, Volume 176, p.60 - 71, (2016)
Finding informative code metrics under uncertainty for predicting the pass rate of online courses,
, Information Sciences, Volume 373, p.42 - 56, (2016)
Leveraging a predictive model of the workload for intelligent slot allocation schemes in energy-efficient HPC clusters,
, Engineering Applications of Artificial Intelligence, Volume 48, p.95 - 105, (2016)
Machine learning models, epistemic set-valued data and generalized loss functions: An encompassing approach,
, Information Sciences, Volume 358-359, p.129 - 150, (2016)
Genetic learning of the membership functions for mining fuzzy association rules from low quality data,
, Information Sciences, Volume 295, p.358 - 378, (2015)
Local iterative DLT soft-computing vs. interval-valued stereo calibration and triangulation with uncertainty bounding in 3D reconstruction,
, Neurocomputing, Volume 167, p.44 - 51, (2015)
Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data,
, Engineering Applications of Artificial Intelligence, Volume 44, p.10 - 24, (2015)
The behavioral meaning of the median,
, Information Sciences, Volume 294, p.127 - 138, (2015)
A design methodology for semi-physical fuzzy models applied to the dynamic characterization of LiFePO4 batteries,
, Applied Soft Computing, Volume 14, p.269 - 288, (2014)
A Procedure for Extending Input Selection Algorithms to Low Quality Data in Modelling Problems with Application to the Automatic Grading of Uploaded Assignments,
, TheScientificWorldJournal, (2014)
Bootstrap analysis of multiple repetitions of experiments using an interval-valued multiple comparison procedure,
, Journal of Computer and System Sciences, Volume 80, Number 1, p.88 - 100, (2014)
Comments on “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization” by Eyke Hüllermeier,
, International Journal of Approximate Reasoning, Volume 55, Number 7, p.1583 - 1587, (2014)
Harnessing the information contained in low-quality data sources,
, Int. J. Approx. Reasoning, Volume 55, p.1485-1486, (2014)
The notion of roughness of a fuzzy set,
, Fuzzy Sets and Systems, Volume 249, p.114 - 127, (2014)
Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?,
, Knowledge-Based Systems, Volume 54, p.3 - 21, (2013)
Similarity and dissimilarity measures between fuzzy sets: A formal relational study,
, Inf. Sci., Volume 229, p.122-141, (2013)
Eliciting a human understandable model of ice adhesion strength for rotor blade leading edge materials from uncertain experimental data,
, Expert Systems with Applications, Volume 39, Number 11, p.10212 - 10225, (2012)
Inner and outer fuzzy approximations of confidence intervals,
, Fuzzy Sets and Systems, Volume 184, Number 1, p.68 - 83, (2011)
Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data,
, International Journal of Approximate Reasoning, Volume 52, Number 6, p.841 - 862, (2011)
Mark-recapture techniques in statistical tests for imprecise data,
, International Journal of Approximate Reasoning, Volume 52, Number 2, p.240 - 260, (2011)
Taximeter verification using imprecise data from GPS,
, Engineering Applications of Artificial Intelligence, Volume 22, Number 2, p.250 - 260, (2009)
Higher order models for fuzzy random variables,
, Fuzzy Sets and Systems, Volume 159, Number 3, p.237 - 258, (2008)
Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data,
, International Journal of Approximate Reasoning, Volume 49, Number 3, p.607 - 622, (2008)
Obtaining transparent models of chaotic systems with multi-objective simulated annealing algorithms,
, Information Sciences, Volume 178, Number 4, p.952 - 970, (2008)
Boosting fuzzy rules in classification problems under single-winner inference,
, Int. J. Intell. Syst., Volume 22, p.1021-1034, (2007)
A GRASP Algorithm for Clustering,
, Proceedings of the 8th Ibero-American Conference on Artifical Intelligence, Seville, Spain, November 12-15, 2002,, p.214–223, (2002)
A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure,
, Journal of Intelligent and Fuzzy Systems, Volume 12, Number 3-4, p.235–242, (2002)
Some relationships between fuzzy and random set-based classifiers and models,
, International Journal of Approximate Reasoning, Volume 29, Number 2, p.175 - 213, (2002)
Combining GP operators with SA search to evolve fuzzy rule based classifiers,
, Information Sciences, Volume 136, Number 1, p.175 - 191, (2001)
A random sets-based method for identifying fuzzy models,
, Fuzzy Sets and Systems, Volume 98, Number 3, p.343 - 354, (1998)