José Antonio Sanz

According to our database1, José Antonio Sanz authored at least 61 papers between 2009 and 2019.

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Bibliography

2019
Improving the Performance of Fuzzy Rule-Based Classification Systems Based on a Nonaveraging Generalization of CC-Integrals Named CF1F2-Integrals.
IEEE Trans. Fuzzy Systems, 2019

General overlap functions.
Fuzzy Sets and Systems, 2019

CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems.
CoRR, 2019

Multimodal Fuzzy Fusion for Enhancing the Motor-Imagery-Based Brain Computer Interface.
IEEE Comp. Int. Mag., 2019

An Evolutionary UnderBagging Approach to Tackle the Survival Prediction of Trauma Patients: A Case Study at the Hospital of Navarre.
IEEE Access, 2019

The Influence of Induced OWA Operators in a Clustering Method.
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

A New Axiomatic Approach to Interval-Valued Entropy.
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

2018
CF-integrals: A new family of pre-aggregation functions with application to fuzzy rule-based classification systems.
Inf. Sci., 2018

CHI-PG: A fast prototype generation algorithm for Big Data classification problems.
Neurocomputing, 2018

CHI-BD: A fuzzy rule-based classification system for Big Data classification problems.
Fuzzy Sets and Systems, 2018

Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems.
Appl. Soft Comput., 2018

Penalty-Based Functions Defined by Pre-aggregation Functions.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

Applying aggregation and pre-aggregation functions in the classification of grape berries.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
CC-integrals: Choquet-like Copula-based aggregation functions and its application in fuzzy rule-based classification systems.
Knowl.-Based Syst., 2017

A decision tree based approach with sampling techniques to predict the survival status of poly-trauma patients.
Int. J. Comput. Intell. Syst., 2017

A new survival status prediction system for severe trauma patients based on a multiple classifier system.
Computer Methods and Programs in Biomedicine, 2017

IVOVO: A new interval-valued one-vs-one approach for multi-class classification problems.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

Analyzing the behavior of a CC-integral in a Fuzzy Rule-Based Classification System.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A global distributed approach to the Chi et al. fuzzy rule-based classification system for big data classification problems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

On the definition of the concept of pre-t-conorms.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Analyzing the Behavior of Aggregation and Pre-aggregation Functions in Fuzzy Rule-Based Classification Systems with Data Complexity Measures.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

Construction of Capacities from Overlap Indexes.
Proceedings of the Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017

CMin-Integral: A Choquet-Like Aggregation Function Based on the Minimum t-Norm for Applications to Fuzzy Rule-Based Classification Systems.
Proceedings of the Aggregation Functions in Theory and in Practice, 2017

2016
Preaggregation Functions: Construction and an Application.
IEEE Trans. Fuzzy Systems, 2016

Composition of interval-valued fuzzy relations using aggregation functions.
Inf. Sci., 2016

Fuzzy Rule-Based Classification Systems for multi-class problems using binary decomposition strategies: On the influence of n-dimensional overlap functions in the Fuzzy Reasoning Method.
Inf. Sci., 2016

Evolution in time of L-fuzzy context sequences.
Inf. Sci., 2016

Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC).
Int. J. Approx. Reasoning, 2016

Unbalanced OWA Operators for Atanassov Intuitionistic Fuzzy Sets.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Optimization of Chi-FRBCS-BigDataCS Fuzzy Rule-Based Classification System.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Pre-aggregation functions: Definition, properties and construction methods.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

A Proposal for Tuning the Alpha Parameter in a Copula Function Applied in Fuzzy Rule-Based Classification Systems.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications With Imbalanced Data.
IEEE Trans. Fuzzy Systems, 2015

Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies.
IEEE Trans. Fuzzy Systems, 2015

The Notion of Pre-aggregation Function.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2015

A family of Choquet-based non-associative aggregation functions for application in fuzzy rule-based classification systems.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Study of n-dimensional overlap functions in Fuzzy Rule-Based Classification Systems.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014
Strong Fuzzy Subsethood Measures and Strong Equalities Via Implication Functions.
Multiple-Valued Logic and Soft Computing, 2014

Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system.
Appl. Soft Comput., 2014

Improving the Performance of FARC-HD in Multi-class Classification Problems Using the One-Versus-One Strategy and an Adaptation of the Inference System.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

A preliminary study on fingerprint classification using fuzzy rule-based classification systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
Construction of Interval Type-2 Fuzzy Sets From Fuzzy Sets: Methods and Applications.
Proceedings of the Advances in Type-2 Fuzzy Sets and Systems - Theory and Applications, 2013

IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection.
IEEE Trans. Fuzzy Systems, 2013

Multiscale edge detection based on Gaussian smoothing and edge tracking.
Knowl.-Based Syst., 2013

Construction of strong equality index from implication operators.
Fuzzy Sets and Systems, 2013

Using the Choquet Integral in the Fuzzy Reasoning Method of Fuzzy Rule-Based Classification Systems.
Axioms, 2013

A new fuzzy reasoning method based on the use of the Choquet integral.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

2011
A genetic tuning to improve the performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of ignorance and lateral position.
Int. J. Approx. Reasoning, 2011

A case study on medical diagnosis of cardiovascular diseases using a Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets.
Proceedings of the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2011

On the cooperation of interval-valued fuzzy sets and genetic tuning to improve the performance of fuzzy decision trees.
Proceedings of the FUZZ-IEEE 2011, 2011

Multicriteria Decision Making by Means of Interval-Valued Choquet Integrals.
Proceedings of the Eurofuse 2011, 2011

Interval-Valued Fuzzy Sets for Color Image Super-Resolution.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Comment on: "Image thresholding using type II fuzzy sets". Importance of this method.
Pattern Recognition, 2010

Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning.
Inf. Sci., 2010

A genetic algorithm for tuning fuzzy rule-based classification systems with Interval-Valued Fuzzy Sets.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Ignorance-Based Fuzzy Clustering Algorithm.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-Sets.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Generalized Atanassov's Intuitionistic Fuzzy Index. Construction Method.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Image Reduction with Interval-Valued Fuzzy Sets and OWA Operators.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009


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