ESTADÍSTICA E INVESTIGACIÓN OPERATIVA
Fachbereich
Universidad Pública de Navarra
Pamplona, EspañaPublikationen in Zusammenarbeit mit Forschern von Universidad Pública de Navarra (21)
2024
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Admissible OWA operators for fuzzy numbers
Fuzzy Sets and Systems, Vol. 480
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Quantifying External Information in Social Network Analysis: An Application to Comparative Mythology
IEEE Transactions on Cybernetics, Vol. 54, Núm. 6, pp. 3417-3430
2023
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On the notion of fuzzy dispersion measure and its application to triangular fuzzy numbers
Information Fusion, Vol. 100
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Type-(2,κ) Overlap Indices
IEEE Transactions on Fuzzy Systems, Vol. 31, Núm. 3, pp. 860-874
2022
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A fuzzy methodology for approaching fuzzy sets of the real line by fuzzy numbers
Fuzzy Sets and Systems, Vol. 435, pp. 55-77
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Extension of Restricted Equivalence Functions and Similarity Measures for Type-2 Fuzzy Sets
IEEE Transactions on Fuzzy Systems, Vol. 30, Núm. 9, pp. 4005-4016
2021
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Affine construction methodology of aggregation functions
Fuzzy Sets and Systems, Vol. 414, pp. 146-164
2019
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Addressing the Overlapping Data Problem in Classification Using the One-vs-One Decomposition Strategy
IEEE Access, Vol. 7, pp. 83396-83411
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Curve-based monotonicity: a generalization of directional monotonicity
International Journal of General Systems, Vol. 48, Núm. 5, pp. 523-553
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Description and Properties of Curve-Based Monotone Functions
Advances in Intelligent Systems and Computing
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Directions of directional, ordered directional and strengthened ordered directional increasingness of linear and ordered linear fusion operators
Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
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Pointwise directional increasingness and geometric interpretation of directionally monotone functions
Information Sciences, Vol. 501, pp. 236-247
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Strengthened ordered directionally monotone functions. Links between the different notions of monotonicity
Fuzzy Sets and Systems, Vol. 357, pp. 151-172
2018
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Two novel methodologies for considering aggregation functions by implicit equations and minimization problems
European Journal of Operational Research, Vol. 270, Núm. 2, pp. 670-681
2016
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INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control
Information Fusion, Vol. 27, pp. 19-32
2014
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Analyzing the presence of noise in multi-class problems: Alleviating its influence with the One-vs-One decomposition
Knowledge and Information Systems, Vol. 38, Núm. 1, pp. 179-206
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Functional time series analysis of spatio-temporal epidemiological data
Stochastic Environmental Research and Risk Assessment, Vol. 28, Núm. 4, pp. 943-954
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More on functional data analysis and other aspects in OODA
Biometrical Journal
2013
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An experimental case of study on the behavior of multiple classifier systems with class noise datasets
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness
Information Sciences, Vol. 247, pp. 1-20