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Pedro Villar
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2020 – today
- 2024
- [i1]Rosana Montes
, Ana M. Sánchez, Pedro Villar, Francisco Herrera:
Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust. CoRR abs/2403.05550 (2024)
2010 – 2019
- 2018
- [j14]Rosana Montes
Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust. Appl. Soft Comput. 67: 941-952 (2018) - 2017
- [c12]Rosana Montes
A decision making model to evaluate the reputation in social networks using HFLTS. FUZZ-IEEE 2017: 1-6 - [c11]Pedro Villar
A first approach to a fuzzy classification system for age estimation based on the pubic bone. FUZZ-IEEE 2017: 1-6 - 2016
- [c10]Pedro Villar
Fuzzy-Citation-KNN: A fuzzy nearest neighbor approach for multi-instance classification. FUZZ-IEEE 2016: 946-952 - 2015
- [j13]Rosana Montes
A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets. Appl. Soft Comput. 35: 949-957 (2015) - [c9]Pedro Villar
On the Combination of Pairwise and Granularity Learning for Improving Fuzzy Rule-Based Classification Systems: GL-FARCHD-OVO. CORES 2015: 135-146 - [c8]Pedro Villar
Improving the OVO performance in Fuzzy Rule-Based Classification Systems by the genetic learning of the granularity level. FUZZ-IEEE 2015: 1-7 - 2014
- [c7]Pedro Villar
Designing a compact Genetic fuzzy rule-based system for one-class classification. FUZZ-IEEE 2014: 2163-2170 - 2012
- [j12]Ramón Alberto Carrasco
A linguistic multicriteria decision-making model applied to hotel service quality evaluation from web data sources. Int. J. Intell. Syst. 27(7): 704-731 (2012) - [j11]Pedro Villar
Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 20(3): 369-397 (2012) - [j10]Ramón Alberto Carrasco
A new model for linguistic summarization of heterogeneous data: an application to tourism web data sources. Soft Comput. 16(1): 135-151 (2012) - 2011
- [j9]Ramón Alberto Carrasco
A Linguistic Multi-Criteria Decision Making Model Applied to the Integration of Education Questionnaires. Int. J. Comput. Intell. Syst. 4(5): 946-959 (2011) - [c6]Pedro Villar
Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets. FUZZ-IEEE 2011: 1239-1246 - 2010
- [c5]Pedro Villar
A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. IPMU (1) 2010: 741-750
2000 – 2009
- 2009
- [j8]Ana M. Sánchez
Hybrid crossover operators with multiple descendents for real-coded genetic algorithms: Combining neighborhood-based crossover operators. Int. J. Intell. Syst. 24(5): 540-567 (2009) - [c4]Pedro Villar
A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets. FUZZ-IEEE 2009: 1689-1694 - 2007
- [j7]Jorge Casillas
Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off. Int. J. Approx. Reason. 44(1): 1-3 (2007) - [j6]Jesús Antonio Acosta Sarmiento, Àngela Nebot
Learning fuzzy partitions in FIR methodology. Int. J. Gen. Syst. 36(6): 703-731 (2007) - [j5]Jesús Antonio Acosta Sarmiento, Àngela Nebot
Optimization of fuzzy partitions for inductive reasoning using genetic algorithms. Int. J. Syst. Sci. 38(12): 991-1011 (2007) - 2003
- [j4]Rafael Alcalá
Linguistic modeling with hierarchical systems of weighted linguistic rules. Int. J. Approx. Reason. 32(2-3): 187-215 (2003) - 2002
- [c3]Oscar Cordón
A Prediction System for Cardiovascularity Diseases Using Genetic Fuzzy Rule-Based Systems. IBERAMIA 2002: 381-391 - [c2]Francisco Herrera, Manuel Lozano
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. IBERAMIA 2002: 392-401 - 2001
- [j3]Oscar Cordón
A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base. Inf. Sci. 136(1-4): 85-107 (2001) - [j2]Oscar Cordón
Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base. IEEE Trans. Fuzzy Syst. 9(4): 667-674 (2001) - 2000
- [j1]Oscar Cordón
Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing. Int. J. Approx. Reason. 25(3): 187-215 (2000)
1990 – 1999
- 1999
- [c1]Oscar Cordón, Francisco Herrera, Pedro Villar:
Influence of fuzzy partition granularity on fuzzy rule-based system behaviour. EUSFLAT-ESTYLF Joint Conf. 1999: 159-162
Coauthor Index
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