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ORCIDHumberto Bustince
Humberto Bustince Sola
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- affiliation: Public University of Navarra, Department of Automation and Computing
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2020 – today
- 2020
[j206]Mikel Uriz, Daniel Paternain, Iris Dominguez-Catena, Humberto Bustince
, Mikel Galar:
Unsupervised Fuzzy Measure Learning for Classifier Ensembles From Coalitions Performance. IEEE Access 8: 52288-52305 (2020)- [j205]Mikel Uriz, Mikel Elkano, Humberto Bustince, Mikel Galar:
FUZZ-EQ: A data equalizer for boosting the discrimination power of fuzzy classifiers. Appl. Soft Comput. 93: 106399 (2020) - [j204]Javier Fumanal-Idocin, Amparo Alonso-Betanzos, Oscar Cordón, Humberto Bustince, Maria Minárová:
Community detection and social network analysis based on the Italian wars of the 15th century. Future Gener. Comput. Syst. 113: 25-40 (2020) - [j203]Graçaliz Pereira Dimuro, Giancarlo Lucca, Benjamín R. C. Bedregal, Radko Mesiar, José Antonio Sanz, Chin-Teng Lin, Humberto Bustince:
Generalized CF1F2-integrals: From Choquet-like aggregation to ordered directionally monotone functions. Fuzzy Sets Syst. 378: 44-67 (2020) - [j202]Mikel Sesma-Sara, Radko Mesiar, Humberto Bustince:
Weak and directional monotonicity of functions on Riesz spaces to fuse uncertain data. Fuzzy Sets Syst. 386: 145-160 (2020) - [j201]Humberto Bustince, Radko Mesiar, Anna Kolesárová, Graçaliz Pereira Dimuro, Javier Fernández, Irene Díaz, Susana Montes:
On some classes of directionally monotone functions. Fuzzy Sets Syst. 386: 161-178 (2020) - [j200]Humberto Bustince, Cédric Marco-Detchart, Javier Fernández, Christian Wagner, Jonathan M. Garibaldi, Zdenko Takác:
Similarity between interval-valued fuzzy sets taking into account the width of the intervals and admissible orders. Fuzzy Sets Syst. 390: 23-47 (2020) - [j199]Fágner L. Santana, Benjamín R. C. Bedregal, Petrucio Viana, Humberto Bustince:
On admissible orders over closed subintervals of [0, 1]. Fuzzy Sets Syst. 399: 44-54 (2020) - [j198]Barbara Pekala, Urszula Bentkowska, Mikel Sesma-Sara, Javier Fernández, Julio Lafuente, Abdulrahman H. Altalhi, Maksymilian Knap, Humberto Bustince, Jesus M. Pintor:
Interval Subsethood Measures with Respect to Uncertainty for the Interval-Valued Fuzzy Setting. Int. J. Comput. Intell. Syst. 13(1): 167-177 (2020) - [j197]Juan I. Forcen, Miguel Pagola, Edurne Barrenechea, Humberto Bustince:
Learning ordered pooling weights in image classification. Neurocomputing 411: 45-53 (2020) - [j196]Graçaliz Pereira Dimuro, Javier Fernández, Benjamín R. C. Bedregal, Radko Mesiar, José Antonio Sanz, Giancarlo Lucca, Humberto Bustince:
The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions. Inf. Fusion 57: 27-43 (2020) - [j195]Tiago da Cruz Asmus, Graçaliz Pereira Dimuro, Benjamín R. C. Bedregal, José Antonio Sanz, Sidnei F. Pereira Jr., Humberto Bustince:
General interval-valued overlap functions and interval-valued overlap indices. Inf. Sci. 527: 27-50 (2020) - [j194]Juan I. Forcen, Miguel Pagola, Edurne Barrenechea, Humberto Bustince:
Co-occurrence of deep convolutional features for image search. Image Vis. Comput. 97: 103909 (2020) - [j193]RouJian Yang, LeSheng Jin, Daniel Paternain, Ronald R. Yager, Radko Mesiar, Humberto Bustince:
Some preference involved aggregation models for basic uncertain information using uncertainty transformation. J. Intell. Fuzzy Syst. 39(1): 325-332 (2020) - [j192]Giancarlo Lucca, José Antonio Sanz, Graçaliz Pereira Dimuro, Benjamín R. C. Bedregal, Humberto Bustince:
A proposal for tuning the α parameter in Cα C-integrals for application in fuzzy rule-based classification systems. Nat. Comput. 19(3): 533-546 (2020) - [j191]Mikel Elkano, José Antonio Sanz, Edurne Barrenechea, Humberto Bustince, Mikel Galar:
CFM-BD: A Distributed Rule Induction Algorithm for Building Compact Fuzzy Models in Big Data Classification Problems. IEEE Trans. Fuzzy Syst. 28(1): 163-177 (2020) - [j190]Inés Couso, Humberto Bustince, Luciano Sánchez:
A Unified View of Different Axiomatic Measures Defined on $L$-Fuzzy Sets. IEEE Trans. Fuzzy Syst. 28(8): 1878-1886 (2020) - [j189]Javier Fernández, Humberto Bustince, L'ubomíra Horanská, Radko Mesiar, Andrea Stupnanová:
A Generalization of the Choquet Integral Defined in Terms of the Möbius Transform. IEEE Trans. Fuzzy Syst. 28(10): 2313-2319 (2020) - [c175]Giancarlo Lucca, Eduardo N. Borges, Hélida Salles Santos, Graçaliz Pereira Dimuro, Tiago da Cruz Asmus, José Antonio Sanz, Humberto Bustince:
A Fuzzy Reasoning Method Based on Ensembles of Generalizations of the Choquet Integral. BRACIS (2) 2020: 187-200 - [c174]Frederico B. Tiggemann, Bryan Stefan Galani Pernambuco, Giancarlo Lucca, Eduardo N. Borges, Hélida Salles Santos, Graçaliz Pereira Dimuro, José Antonio Sanz, Humberto Bustince:
An Alternative to Power Measure for Fuzzy Rule-Based Classification Systems. BRACIS (2) 2020: 231-244 - [c173]Tiago da Cruz Asmus, Graçaliz Pereira Dimuro, Humberto Bustince, Benjamín R. C. Bedregal, Hélida Salles Santos, José Antonio Sanz:
General Interval-valued Grouping Functions. FUZZ-IEEE 2020: 1-8 - [c172]Barbara Pekala, Urszula Bentkowska, Jaroslaw Szkola, Wojciech Rzasa, Dawid Kosior, Javier Fernández, Laura De Miguel, Humberto Bustince:
General local properties of fuzzy relations and fuzzy multisets used to an algorithm for group decision making. FUZZ-IEEE 2020: 1-8 - [c171]Mikel Sesma-Sara, Radko Mesiar, Javier Fernández, Zdenko Takác, Humberto Bustince:
A proposal of the notions of ordered and strengthened ordered directional monotonicity for interval-valued functions based on admissible orders. FUZZ-IEEE 2020: 1-7 - [c170]Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar:
An Empirical Study on Supervised and Unsupervised Fuzzy Measure Construction Methods in Highly Imbalanced Classification. FUZZ-IEEE 2020: 1-8 - [c169]Jonata C. Wieczynski, Graçaliz Pereira Dimuro, Eduardo N. Borges, Hélida S. Santos, Giancarlo Lucca, Rodolfo Lourenzutti, Humberto Bustince:
Generalizing the GMC-RTOPSIS Method using CT-integral Pre-aggregation Functions. FUZZ-IEEE 2020: 1-8 - [c168]José Antonio Sanz, Tiago da Cruz Asmus, Borja de la Osa, Humberto Bustince:
Enhancing the Efficiency of the Interval-Valued Fuzzy Rule-Based Classifier with Tuning and Rule Selection. IPMU (3) 2020: 463-478 - [c167]Hélida S. Santos, Graçaliz Pereira Dimuro, Tiago da Cruz Asmus, Giancarlo Lucca, Eduardo N. Borges, Benjamín R. C. Bedregal, José Antonio Sanz, Javier Fernández, Humberto Bustince:
General Grouping Functions. IPMU (2) 2020: 481-495 - [c166]Humberto Bustince, Radko Mesiar, Javier Fernández, Mikel Galar, Daniel Paternain, Abdulrahman H. Altalhi, Graçaliz Pereira Dimuro, Benjamín R. C. Bedregal, Zdenko Takác:
Dissimilarity Based Choquet Integrals. IPMU (2) 2020: 565-573 - [i10]Francesco Bardozzo, Borja de la Osa, Lubomíra Horanská, Javier Fumanal-Idocin, Mattia delli Priscoli, Luigi Troiano, Roberto Tagliaferri, Javier Fernández, Humberto Bustince:
Adaptive binarization based on fuzzy integrals. CoRR abs/2003.08755 (2020) - [i9]Juan I. Forcen, Miguel Pagola, Edurne Barrenechea, Humberto Bustince:
Co-occurrence of deep convolutional features for image search. CoRR abs/2003.13827 (2020) - [i8]Juan I. Forcen, Miguel Pagola, Edurne Barrenechea, Humberto Bustince:
Learning ordered pooling weights in image classification. CoRR abs/2007.01243 (2020) - [i7]Javier Fumanal-Idocin, Amparo Alonso-Betanzos, Oscar Cordón, Humberto Bustince, Maria Minárová:
Community detection and Social Network analysis based on the Italian wars of the 15th century. CoRR abs/2007.02641 (2020) - [i6]Javier Fumanal-Idocin, Zdenko Takác, Javier Fernández, José Antonio Sanz, Harkaitz Goyena, Ching-Teng Lin, Yu-Kai Wang, Humberto Bustince:
Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface. CoRR abs/2011.09831 (2020)
2010 – 2019
- 2019
- [j188]Zdenko Takác, Humberto Bustince, Jesús María Pintor, Cédric Marco-Detchart, Inés Couso:
Width-Based Interval-Valued Distances and Fuzzy Entropies. IEEE Access 7: 14044-14057 (2019) - [j187]José Antonio Sanz, Mikel Galar, Humberto Bustince, Tomás Belzunegui:
An Evolutionary UnderBagging Approach to Tackle the Survival Prediction of Trauma Patients: A Case Study at the Hospital of Navarre. IEEE Access 7: 76009-76021 (2019) - [j186]Juan Ignacio Forcén, Miguel Pagola, Edurne Barrenechea, Humberto Bustince:
Combination of features through weighted ensembles for image classification. Appl. Soft Comput. 84 (2019) - [j185]Li-Wei Ko, Yi-Chen Lu, Humberto Bustince, Yu-Cheng Chang, Yang Chang, Javier Fernández, Yu-Kai Wang, José Antonio Sanz, Graçaliz Pereira Dimuro, Chin-Teng Lin:
Multimodal Fuzzy Fusion for Enhancing the Motor-Imagery-Based Brain Computer Interface. IEEE Comput. Intell. Mag. 14(1): 96-106 (2019) - [j184]Mikel Sesma-Sara, Julio Lafuente, Antonio Roldán, Radko Mesiar, Humberto Bustince:
Strengthened ordered directionally monotone functions. Links between the different notions of monotonicity. Fuzzy Sets Syst. 357: 151-172 (2019) - [j183]Laura De Miguel, Daniel Gómez, Juan Tinguaro Rodríguez, Javier Montero, Humberto Bustince, Graçaliz Pereira Dimuro, José Antonio Sanz:
General overlap functions. Fuzzy Sets Syst. 372: 81-96 (2019) - [j182]Graçaliz Pereira Dimuro, Benjamín R. C. Bedregal, Javier Fernández, Mikel Sesma-Sara, Jesus M. Pintor, Humberto Bustince:
The law of O-conditionality for fuzzy implications constructed from overlap and grouping functions. Int. J. Approx. Reason. 105: 27-48 (2019) - [j181]Antonio-Francisco Roldán-López-de-Hierro, Mikel Sesma-Sara, Jana Spirková, Julio Lafuente, Ana Pradera, Radko Mesiar, Humberto Bustince:
Curve-based monotonicity: a generalization of directional monotonicity. Int. J. Gen. Syst. 48(5): 523-553 (2019) - [j180]Laura De Miguel, Daniel Paternain, Inmaculada Lizasoain, Gustavo Ochoa, Humberto Bustince:
Orness for real m-dimensional interval-valued OWA operators and its application to determine a good partition. Int. J. Gen. Syst. 48(8): 843-860 (2019) - [j179]Hélida Salles Santos, Inés Couso, Benjamín R. C. Bedregal, Zdenko Takác, Maria Minárová, Alfredo Asiain, Edurne Barrenechea, Humberto Bustince:
Similarity measures, penalty functions, and fuzzy entropy from new fuzzy subsethood measures. Int. J. Intell. Syst. 34(6): 1281-1302 (2019) - [j178]Chen Zhu, LeSheng Jin, Radko Mesiar, Ronald R. Yager, Daniel Paternain, Humberto Bustince:
Nested formulation paradigms for induced ordered weighted averaging aggregation for decision-making and evaluation. Int. J. Intell. Syst. 34(11): 3046-3057 (2019) - [j177]Emran Saleh, Aïda Valls, Antonio Moreno, Pedro Romero-Aroca, Humberto Bustince, Vicenç Torra:
A Hierarchically ⊥-Decomposable Fuzzy Measure-Based Approach for Fuzzy Rules Aggregation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(Supplement-1): 59-76 (2019) - [j176]Jana Spirková, Gleb Beliakov, Humberto Bustince, Javier Fernández:
Mixture functions and their monotonicity. Inf. Sci. 481: 520-549 (2019) - [j175]Abdulrahman H. Altalhi, Juan I. Forcen, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince, Zdenko Takác:
Moderate deviation and restricted equivalence functions for measuring similarity between data. Inf. Sci. 501: 19-29 (2019) - [j174]Mikel Sesma-Sara, Laura De Miguel, Antonio-Francisco Roldán-López-de-Hierro, Julio Lafuente, Radko Mesiar, Humberto Bustince:
Pointwise directional increasingness and geometric interpretation of directionally monotone functions. Inf. Sci. 501: 236-247 (2019) - [j173]A. Lopez-Maestresalas, Laura De Miguel, Carlos Lopez-Molina, Silvia Arazuri, Humberto Bustince, Carmen Jarén:
Hyperspectral imaging using notions from type-2 fuzzy sets. Soft Comput. 23(6): 1779-1793 (2019) - [j172]Giancarlo Lucca, Graçaliz Pereira Dimuro, Javier Fernández, Humberto Bustince, Benjamín R. C. Bedregal, José Antonio Sanz:
Improving the Performance of Fuzzy Rule-Based Classification Systems Based on a Nonaveraging Generalization of CC-Integrals Named CF1F2-Integrals. IEEE Trans. Fuzzy Syst. 27(1): 124-134 (2019) - [j171]Inés Couso, Humberto Bustince:
From Fuzzy Sets to Interval-Valued and Atanassov Intuitionistic Fuzzy Sets: A Unified View of Different Axiomatic Measures. IEEE Trans. Fuzzy Syst. 27(2): 362-371 (2019) - [j170]Daniel Paternain, Laura De Miguel, Gustavo Ochoa, Inmaculada Lizasoain, Radko Mesiar, Humberto Bustince:
The Interval-Valued Choquet Integral Based on Admissible Permutations. IEEE Trans. Fuzzy Syst. 27(8): 1638-1647 (2019) - [c165]Zdenko Takác, Humberto Bustince, Javier Fernández, Graçaliz Pereira Dimuro, Tiago da Cruz Asmus, Aitor Castillo-Lopez:
Interval-Valued EN-functions and Similarity Measures. AGOP 2019: 140-150 - [c164]Humberto Bustince, Javier Fernández, Lubomíra Horanská, Radko Mesiar, Andrea Stupnanová:
On Some Generalizations of the Choquet Integral. AGOP 2019: 151-159 - [c163]J. Armentia, Iosu Rodríguez, Javier Fumanal-Idocin, Humberto Bustince, Maria Minárová, Aranzazu Jurio:
Gravitational Clustering Algorithm Generalization by Using an Aggregation of Masses in Newton Law. AGOP 2019: 172-182 - [c162]Mikel Sesma-Sara, Laura De Miguel, Antonio-Francisco Roldán-López-de-Hierro, Jana Spirková, Radko Mesiar, Humberto Bustince:
Description and Properties of Curve-Based Monotone Functions. AGOP 2019: 195-204 - [c161]Jéssica Camila Saldivia Bueno, Camila Alves Dias, Graçaliz Pereira Dimuro, Hélida S. Santos, Eduardo Nunes Borges, Giancarlo Lucca, Humberto Bustince:
Aggregation functions based on the Choquet integral applied to image resizing. EUSFLAT Conf. 2019 - [c160]Lucelia Lima Costa, Marcus P. da Rocha, Annaxsuel A. de Lima, Benjamín R. C. Bedregal, Humberto Bustince:
On pseudo-homogeneity of t-subnorms. FUZZ-IEEE 2019: 1-6 - [c159]Graçaliz Pereira Dimuro, Hélida Salles Santos, Benjamín R. C. Bedregal, Eduardo Nunes Borges, Eduardo Silva Palmeira, Javier Fernández, Humberto Bustince:
On D-implications derived by grouping functions. FUZZ-IEEE 2019: 1-6 - [c158]Mikel Elkano, Humberto Bustince, Mikel Galar:
Do we still need fuzzy classifiers for Small Data in the Era of Big Data? FUZZ-IEEE 2019: 1-6 - [c157]Aranzazu Jurio, Humberto Bustince, Vicenç Torra:
Managing the doubt in fuzzy clustering by means of interval-valued fuzzy sets. FUZZ-IEEE 2019: 1-6 - [c156]Giancarlo Lucca, José Antonio Sanz, Graçaliz Pereira Dimuro, Eduardo Nunes Borges, Hélida Salles Santos, Humberto Bustince:
Analyzing the performance of different fuzzy measures with generalizations of the Choquet integral in classification problems. FUZZ-IEEE 2019: 1-6 - [c155]Ivan Mezzomo, Benjamín R. C. Bedregal, Thadeu Milfont, Tiago da Cruz Asmus, Humberto Bustince:
n-Dimensional Interval Uninorms. FUZZ-IEEE 2019: 1-6 - [c154]Daniel Paternain, LeSheng Jin, Radko Mesiar, Lucia Vavríková, Humberto Bustince:
OWA Operators Based on Admissible Permutations. FUZZ-IEEE 2019: 1-5 - [c153]Barbara Pekala, Urszula Bentkowska, Javier Fernández, Humberto Bustince:
Equivalence measures for Atanassov intuitionistic fuzzy setting used to algorithm of image processing. FUZZ-IEEE 2019: 1-6 - [c152]Mikel Sesma-Sara, Laura De Miguel, Radko Mesiar, Javier Fernández, Humberto Bustince:
Interval-valued pre-aggregation functions: a study of directional monotonicity of interval-valued functions. FUZZ-IEEE 2019: 1-6 - [c151]Zdenko Takác, Javier Fernández, Javier Fumanal, Cédric Marco-Detchart, Inés Couso, Graçaliz Pereira Dimuro, Hélida Salles Santos, Humberto Bustince:
Distances between Interval-valued Fuzzy Sets Taking into Account the Width of the Intervals. FUZZ-IEEE 2019: 1-6 - [c150]Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar:
On the Influence of Admissible Orders in IVOVO. HAIS 2019: 358-369 - [c149]Juan Ignacio Forcén, Miguel Pagola, Edurne Barrenechea, Humberto Bustince:
Aggregation of Deep Features for Image Retrieval Based on Object Detection. IbPRIA (1) 2019: 553-564 - [c148]Humberto Bustince, Javier Fernández, Iosu Rodríguez, Borja de la Osa, Cédric Marco-Detchart, José Antonio Sanz Delgado, Zdenko Takác:
A New Axiomatic Approach to Interval-Valued Entropy. IFSA/NAFIPS 2019: 3-12 - [c147]Aranzazu Jurio, Mikel Sesma-Sara, José Antonio Sanz Delgado, Humberto Bustince:
The Influence of Induced OWA Operators in a Clustering Method. IFSA/NAFIPS 2019: 22-32 - [c146]Mikel Sesma-Sara, Laura De Miguel, Radko Mesiar, Javier Fernández, Humberto Bustince:
Local Properties of Strengthened Ordered Directional and Other Forms of Monotonicity. IFSA/NAFIPS 2019: 33-43 - [c145]Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar:
On the Influence of Interval Normalization in IVOVO Fuzzy Multi-class Classifier. IFSA/NAFIPS 2019: 44-57 - [c144]Camila Alves Dias, Jéssica C. S. Bueno, Eduardo N. Borges, Giancarlo Lucca, Hélida Salles Santos, Graçaliz Pereira Dimuro, Humberto Bustince, Paulo Drews Jr., Silvia Botelho, Eduardo Silva Palmeira:
Simulating the Behaviour of Choquet-Like (pre) Aggregation Functions for Image Resizing in the Pooling Layer of Deep Learning Networks. IFSA/NAFIPS 2019: 224-236 - [c143]Zdenko Takác, Maria Minárová, Humberto Bustince, Javier Fernández:
Restricted Similarity Functions, Distances and Entropies with Intervals Using Total Orders. IUKM 2019: 432-442 - [i5]Mikel Elkano, José Antonio Sanz, Edurne Barrenechea, Humberto Bustince, Mikel Galar:
CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems. CoRR abs/1902.09357 (2019) - [i4]Mikel Elkano, Mikel Uriz, Humberto Bustince, Mikel Galar:
On the usage of the probability integral transform to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems. CoRR abs/1903.00345 (2019) - [i3]Mikel Elkano, Humberto Bustince, Mikel Galar:
Do we still need fuzzy classifiers for Small Data in the Era of Big Data? CoRR abs/1903.03324 (2019) - 2018
- [j169]Laura De Miguel, Daniel Paternain, Inmaculada Lizasoain, Gustavo Ochoa, Humberto Bustince:
Orness measurements for lattice m-dimensional interval-valued OWA operators. Appl. Math. Comput. 339: 63-80 (2018) - [j168]Mikel Elkano, Mikel Galar, José Antonio Sanz, Paula F. Schiavo, Sidnei F. Pereira Jr., Graçaliz Pereira Dimuro, Eduardo N. Borges, Humberto Bustince:
Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems. Appl. Soft Comput. 67: 728-740 (2018) - [j167]Humberto Bustince, Javier Fernández, Esteban Induráin:
Introduction to Special Issue: New Trends in Fuzzy Set Theory and Related Items. Axioms 7(2): 37 (2018) - [j166]A. Lopez-Maestresalas, Humberto Bustince, Javier Fernández, Radko Mesiar, C. Roldán:
Two novel methodologies for considering aggregation functions by implicit equations and minimization problems. Eur. J. Oper. Res. 270(2): 670-681 (2018) - [j165]Radko Mesiar, Anna Kolesárová, Humberto Bustince, Javier Fernández:
Dualities in the class of extended Boolean functions. Fuzzy Sets Syst. 332: 78-92 (2018) - [j164]Laura De Miguel, Humberto Bustince, Bernard De Baets:
Convolution lattices. Fuzzy Sets Syst. 335: 67-93 (2018) - [j163]Mikel Elkano, Mikel Galar, José Antonio Sanz, Humberto Bustince:
CHI-BD: A fuzzy rule-based classification system for Big Data classification problems. Fuzzy Sets Syst. 348: 75-101 (2018) - [j162]Mikel Elkano, Mikel Galar, José Antonio Sanz Delgado, Humberto Bustince:
CHI-PG: A fast prototype generation algorithm for Big Data classification problems. Neurocomputing 287: 22-33 (2018) - [j161]Maria Minárová, Daniel Paternain, Aranzazu Jurio, Javier Ruiz-Aranguren, Zdenko Takác, Humberto Bustince:
Modifying the gravitational search algorithm: A functional study. Inf. Sci. 430: 87-103 (2018) - [j160]Zdenko Takác, Maria Minárová, Javier Montero, Edurne Barrenechea, Javier Fernández, Humberto Bustince:
Interval-valued fuzzy strong S-subsethood measures, interval-entropy and P-interval-entropy. Inf. Sci. 432: 97-115 (2018) - [j159]Giancarlo Lucca, José Antonio Sanz, Graçaliz Pereira Dimuro, Benjamín R. C. Bedregal, Humberto Bustince, Radko Mesiar:
CF-integrals: A new family of pre-aggregation functions with application to fuzzy rule-based classification systems. Inf. Sci. 435: 94-110 (2018) - [j158]Eduardo Silva Palmeira, Benjamín R. C. Bedregal, Humberto Bustince, Daniel Paternain, Laura De Miguel:
Application of two different methods for extending lattice-valued restricted equivalence functions used for constructing similarity measures on L-fuzzy sets. Inf. Sci. 441: 95-112 (2018) - [j157]Bartosz Krawczyk, Mikel Galar, Michal Wozniak, Humberto Bustince, Francisco Herrera:
Dynamic ensemble selection for multi-class classification with one-class classifiers. Pattern Recognit. 83: 34-51 (2018) - [j156]Daniel Paternain, María Jesús Campión, Radko Mesiar, Irina Perfilieva, Humberto Bustince:
Internal Fusion Functions. IEEE Trans. Fuzzy Syst. 26(2): 487-503 (2018) - [j155]Maria José Asiain, Humberto Bustince, Radko Mesiar, Anna Kolesárová, Zdenko Takác:
Negations With Respect to Admissible Orders in the Interval-Valued Fuzzy Set Theory. IEEE Trans. Fuzzy Syst. 26(2): 556-568 (2018) - [j154]Humberto Bustince, Edurne Barrenechea, Mikel Sesma-Sara, Julio Lafuente, Graçaliz Pereira Dimuro, Radko Mesiar, Anna Kolesárová:
Ordered Directionally Monotone Functions: Justification and Application. IEEE Trans. Fuzzy Syst. 26(4): 2237-2250 (2018) - [j153]Inés Couso, Humberto Bustince:
Three Categories of Set-Valued Generalizations From Fuzzy Sets to Interval-Valued and Atanassov Intuitionistic Fuzzy Sets. IEEE Trans. Fuzzy Syst. 26(5): 3112-3121 (2018) - [c142]Mikel Elkano, Mikel Uriz, Humberto Bustince, Mikel Galar:
On the Usage of the Probability Integral Transform to Reduce the Complexity of Multi-Way Fuzzy Decision Trees in Big Data Classification Problems. BigData Congress 2018: 25-32 - [c141]Mikel Galar, Isaac Triguero, Humberto Bustince, Francisco Herrera:
A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark. CEC 2018: 1-8 - [c140]Giancarlo Lucca, José Antonio Sanz, Humberto Bustince, Graçaliz Pereira Dimuro, Véronique M. Gomes, Rui Claudio Constantino Madureira, Pedro Melo-Pinto:
Applying aggregation and pre-aggregation functions in the classification of grape berries. FUZZ-IEEE 2018: 1-6 - [c139]Mikel Sesma-Sara, Laura De Miguel, Radko Mesiar, Humberto Bustince:
Matrix resemblance functions for image comparison. FUZZ-IEEE 2018: 1-6 - [c138]Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar:
A first approach towards the usage of classifiers' performance to create fuzzy measures for ensembles of classifiers: a case study on highly imbalanced datasets. FUZZ-IEEE 2018: 1-8 - [c137]Humberto Bustince:
An Approximation to the Problem of Information Fusion in Fuzzy Classification. IJCCI 2018: 25 - [c136]Cédric Marco-Detchart, Carlos Lopez-Molina, Javier Fernández, Miguel Pagola, Humberto Bustince:
Image Feature Extraction Using OD-Monotone Functions. IPMU (1) 2018: 266-277 - [c135]Graçaliz Pereira Dimuro, Radko Mesiar, Humberto Bustince, Benjamín R. C. Bedregal, José Antonio Sanz, Giancarlo Lucca:
Penalty-Based Functions Defined by Pre-aggregation Functions. IPMU (2) 2018: 403-415 - [c134]Mikel Sesma-Sara, Laura De Miguel, Julio Lafuente, Edurne Barrenechea, Radko Mesiar, Humberto Bustince:
Strengthened Ordered Directional and Other Generalizations of Monotonicity for Aggregation Functions. IPMU (2) 2018: 416-426 - [c133]Mikel Uriz, Daniel Paternain, Aranzazu Jurio, Humberto Bustince, Mikel Galar:
A Study of Different Families of Fusion Functions for Combining Classifiers in the One-vs-One Strategy. IPMU (2) 2018: 427-440 - [c132]Hugo Zapata, Graçaliz Pereira Dimuro, Javier Fernández, Humberto Bustince:
T-Overlap Functions: A Generalization of Bivariate Overlap Functions by t-Norms. IPMU (1) 2018: 479-489 - [c131]Emran Saleh, Aïda Valls, Antonio Moreno, Pedro Romero-Aroca, Vicenç Torra, Humberto Bustince:
Learning Fuzzy Measures for Aggregation in Fuzzy Rule-Based Models. MDAI 2018: 114-127 - [c130]Camila Alves Dias, Jéssica C. S. Bueno, Eduardo N. Borges, Silvia S. C. Botelho, Graçaliz Pereira Dimuro, Giancarlo Lucca, Javier Fernández, Humberto Bustince, Paulo Lilles Jorge Drews Junior:
Using the Choquet Integral in the Pooling Layer in Deep Learning Networks. NAFIPS 2018: 144-154 - [c129]Cédric Marco-Detchart, Graçaliz Pereira Dimuro, Mikel Sesma-Sara, Aitor Castillo-Lopez, Javier Fernández, Humberto Bustince:
Consensus Image Feature Extraction with Ordered Directionally Monotone Functions. NAFIPS 2018: 155-166 - [c128]Mikel Sesma-Sara, Cédric Marco-Detchart, Julio Lafuente, Antonio Roldán, Radko Mesiar, Humberto Bustince:
Directions of directional, ordered directional and strengthened ordered directional increasingness of linear and ordered linear fusion operators. SSCI 2018: 434-440 - 2017
- [j152]Santiago García-Jiménez, Aranzazu Jurio, Miguel Pagola, Laura De Miguel, Edurne Barrenechea, Humberto Bustince:
Forest fire detection: A fuzzy system approach based on overlap indices. Appl. Soft Comput. 52: 834-842 (2017) - [j151]Humberto Bustince, Gleb Beliakov, Graçaliz Pereira Dimuro, Benjamín R. C. Bedregal, Radko Mesiar:
On the definition of penalty functions in data aggregation. Fuzzy Sets Syst. 323: 1-18 (2017) - [j150]Michal Baczynski, Humberto Bustince, Radko Mesiar:
Aggregation functions: Theory and applications, part I. Fuzzy Sets Syst. 324: 1-2 (2017) - [j149]Michal Baczynski, Humberto Bustince, Radko Mesiar:
Aggregation functions: Theory and applications, Part II. Fuzzy Sets Syst. 325: 1-3 (2017) - [j148]Graçaliz Pereira Dimuro, Benjamín R. C. Bedregal, Humberto Bustince, Aranzazu Jurio, Michal Baczynski, Katarzyna Mis:
QL-operations and QL-implication functions constructed from tuples (O, G, N) and the generation of fuzzy subsethood and entropy measures. Int. J. Approx. Reason. 82: 170-192 (2017) - [j147]Hugo Zapata, Humberto Bustince, Susana Montes, Benjamín R. C. Bedregal, Graçaliz Pereira Dimuro, Zdenko Takác, Michal Baczynski, Javier Fernández:
Interval-valued implications and interval-valued strong equality index with admissible orders. Int. J. Approx. Reason. 88: 91-109 (2017) - [j146]Benjamín R. C. Bedregal, Humberto Bustince, Eduardo Silva Palmeira, Graçaliz Pereira Dimuro, Javier Fernández:
Generalized interval-valued OWA operators with interval weights derived from interval-valued overlap functions. Int. J. Approx. Reason. 90: 1-16 (2017) - [j145]José Antonio Sanz, Javier Fernández, Humberto Bustince, Carlos Gradin, Mariano Fortún, Tomás Belzunegui:
A decision tree based approach with sampling techniques to predict the survival status of poly-trauma patients. Int. J. Comput. Intell. Syst. 10(1): 440-455 (2017) - [j144]