Pedro Villar
Orcid: 0000-0003-0601-8503
According to our database1,
Pedro Villar
authored at least 26 papers
between 1999 and 2018.
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Bibliography
2018
Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust.
Appl. Soft Comput., 2018
2017
A first approach to a fuzzy classification system for age estimation based on the pubic bone.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
Fuzzy-Citation-KNN: A fuzzy nearest neighbor approach for multi-instance classification.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets.
Appl. Soft Comput., 2015
Improving the OVO performance in Fuzzy Rule-Based Classification Systems by the genetic learning of the granularity level.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
On the Combination of Pairwise and Granularity Learning for Improving Fuzzy Rule-Based Classification Systems: GL-FARCHD-OVO.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015
2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2012
A new model for linguistic summarization of heterogeneous data: an application to tourism web data sources.
Soft Comput., 2012
Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012
A linguistic multicriteria decision-making model applied to hotel service quality evaluation from web data sources.
Int. J. Intell. Syst., 2012
2011
A Linguistic Multi-Criteria Decision Making Model Applied to the Integration of Education Questionnaires.
Int. J. Comput. Intell. Syst., 2011
Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets.
Proceedings of the FUZZ-IEEE 2011, 2011
2010
A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010
2009
Hybrid crossover operators with multiple descendents for real-coded genetic algorithms: Combining neighborhood-based crossover operators.
Int. J. Intell. Syst., 2009
A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets.
Proceedings of the FUZZ-IEEE 2009, 2009
2007
Int. J. Syst. Sci., 2007
Int. J. Approx. Reason., 2007
2003
Int. J. Approx. Reason., 2003
2002
Multiple Crossover per Couple with Selection of the Two Best Offspring: An Experimental Study with the BLX-alpha Crossover Operator for Real-Coded Genetic Algorithms.
Proceedings of the Advances in Artificial Intelligence, 2002
A Prediction System for Cardiovascularity Diseases Using Genetic Fuzzy Rule-Based Systems.
Proceedings of the Advances in Artificial Intelligence, 2002
2001
Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base.
IEEE Trans. Fuzzy Syst., 2001
A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base.
Inf. Sci., 2001
2000
Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing.
Int. J. Approx. Reason., 2000
1999
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999