Papers in Journals
with Impact Factor

2012
[1] G. BELIAKOV, H. BUSTINCE, D. PATERNAIN, Image Reduction Using Means on Discrete Product Lattices. IEEE Transactions on Image Processing , 21:1070-1083, 2012. [ bib ]
[2] M. GALAR, A. FERNANDEZ, E. BARRENECHEA, H. BUSTINCE, F. HERRERA, A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews , 42:463-484, 2012. [ bib ]
[3] B. BEDREGAL, G. BELIAKOV, H. BUSTINCE, T. CALVO, R. MESIAR, D. PATERNAIN, A class of fuzzy multisets with a fixed number of memberships. Information Sciences , 189:1-17, 2012. [ bib ]
[4] J. SAEZ, M. GALAR, J. LUENGO, F. HERRERA, Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition. Knowledge and Information Systems , 2012. [ bib ]
2011
[5] H. BUSTINCE, G. BELIAKOV, D. GOSWAMI, U. MUKHERJEE, N. PAL, On averaging operators for Atanassov’s intuitionistic fuzzy sets . Information Sciences , 181:1116-1124, 2011. [ bib ]
[6] H. BUSTINCE, E. BARRENECHEA, M. PAGOLA, J. FERNANDEZ, C. GUERRA, P. COUTO, P. MELO-PINTO, Generalized Atanassov's intuitionistic fuzzy index. Construction of Atanassov's fuzzy entropy from fuzzy implication operators. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , 19:51-69, 2011. [ bib ]
[7] J. SANZ, A. FERNANDEZ, H. BUSTINCE, F. HERRERA, A Genetic Tuning to Improve the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of Ignorance and Lateral Position. International Journal of Approximate Reasoning , 2011. [ bib ]
[8] M. GALAR, A. FERNANDEZ, E. BARRENECHEA, H. BUSTINCE, F. HERRERA, An Overview of Ensemble Methods for Binary Classifiers in Multi-class Problems: Experimental Study on One-vs-One and One-vs-All Schemes. Pattern Recognition , 44:1761-1776, 2011. [ bib ]
[9] M. GALAR, J. FERNANDEZ, G. BELIAKOV, H. BUSTINCE, Interval-Valued Fuzzy Sets Applied to Stereo Matching of Color Images. IEEE Transactions on Image Processing , 20:1949-1961, 2011. [ bib ]
[10] E. BARRENECHEA, H. BUSTINCE, B. DE BAETS, C. LOPEZ-MOLINA, Construction of Interval-valued Fuzzy Relations With Application to the Generation of Fuzzy Edge Images. IEEE Transactions on Fuzzy Systems , 99, 2011. [ bib ]
[11] C. LOPEZ-MOLINA, B. DE BAETS, H. BUSTINCE, Generating fuzzy edge images from gradient magnitudes. Computer Vision and Image Understanding , 115:1571-1580, 2011. [ bib ]
[12] A. JURIO, M. PAGOLA, R. MESIAR, G. BELIAKOV, H. BUSTINCE, Image Magnification Using Interval Information. IEEE Transactions on Image Processing , 20:3112-3123, 2011. [ bib ]
2010
[13] P. COUTO, A. JURIO, A. VAREJAŐ, M. PAGOLA, H. BUSTINCE, P. MELO-PINTO, An IVFS-based image segmentation methodology for rat gait analysis. Soft Computing , 2010. [ bib ]
[14] H. BUSTINCE, E. BARRENECHEA, M. PAGOLA, J. SANZ, J. FERNANDEZ, Comment on: “Image thresholding using type II fuzzy sets”. Importance of this method . Pattern Recognition , 43:3188-3192, 2010. [ bib ]
[15] A. FERNANDEZ, M. CALDERON, E. BARRENECHEA, H. BUSTINCE, F. HERRERA, Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations. Fuzzy Sets and Systems , 161:3064-3080, 2010. [ bib ]
[16] C. LOPEZ-MOLINA, H. BUSTINCE, J. FERNANDEZ, P. COUTO, B. DE BAETS, A gravitational approach to edge detection based on triangular norms. Pattern Recognition , 43:3730-3741, 2010. [ bib ]
[17] J. SANZ, A. FERNANDEZ, H. BUSTINCE, F. HERRERA, Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning. Information Sciences , 180:3674-3685, 2010. [ bib ]
[18] N. LOPES, P. COUTO, H. BUSTINCE, P. MELO-PINTO, Automatic histogram threshold using fuzzy measures. IEEE Transactions on Image Processing , 19:199-204, 2010. [ bib ]
[19] H. BUSTINCE, T. CALVO, B. DE BAETS, J. FODOR, R. MESIAR, J. MONTERO, D. PATERNAIN, A. PRADERA, A class of aggregation functions encompassing two-dimensional OWA operators. Information Sciences , 180:1977-1989, 2010. [ bib ]
[20] H. BUSTINCE, R. MESIAR, J. FERNANDEZ, On the alpha-migrativity of semicopulas, quasi-copulas, and copulas. Information Sciences , 180:1967-1976, 2010. [ bib ]
[21] H. BUSTINCE, E. BARRENECHEA, J. FERNANDEZ, M. PAGOLA, J. MONTERO, C. GUERRA, Contrast of a fuzzy relation. Information Sciences , 180:1326-1344, 2010. [ bib ]
[22] M. GALAR, H. BUSTINCE, J. FERNANDEZ, J. SANZ, G. BELIAKOV, Fuzzy entropy from weak fuzzy subsethood measures. Neural Network World , 20:139-158, 2010. [ bib ]
[23] H. BUSTINCE, J. FERNANDEZ, R. MESIAR, J. MONTERO, R. ORDUNA, Overlap functions. Nonlinear Analysis, Theory, Methods and Applications , 72:945-952, 2010. [ bib ]
[24] E. BARRENECHEA, H. BUSTINCE, M. PAGOLA, J. FERNANDEZ, Construction of interval-valued fuzzy entropy invariant by translations and scalings. Mathware & Soft Computing , 14:945-952, 2010. [ bib ]
[25] H. BUSTINCE, M. PAGOLA, E. BARRENECHEA, J. FERNANDEZ, P. MELO-PINTO, P. COUTO, H. TIZHOOSH, J. MONTERO, Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images. Fuzzy Sets and Systems , 161:20-36, 2010. [ bib ]
2009
[26] H. BUSTINCE, J. MONTERO, R. MESIAR, Migrativity of aggregation functions. Fuzzy Sets and Systems , 160:766-777, 2009. [ bib ]
[27] M. PAGOLA, R. ORTIZ, I. IRIGOYEN, H. BUSTINCE, E. BARRENECHEA, P. APARICIO-TEJO, C. LAMSFUS, B. LASA, New method to assess barley nitrogen nutrition status based on image colour analysis. comparison with spad-502. Computers and Electronics in Agriculture , 65:213-218, 2009. [ bib ]
2008
[28] H. BUSTINCE, E. BARRENECHEA, M. PAGOLA, Relationship between restricted dissimilarity functions, restricted equivalence functions and normal en-functions: Image thresholding invariant. Patter Recognition Letters , 29:525-536, 2008. [ bib ]
[29] H. BUSTINCE, E. BARRENECHEA, M. PAGOLA, Generation of interval-valued fuzzy and Atanassov's intuitionistic fuzzy connectives from fuzzy connectives and from kalfa-operators. International Journal of Intelligent Systems , 23:680-714, 2008. [ bib ]
[30] H. BUSTINCE, E. BARRENECHEA, M. PAGOLA, J. FERNANDEZ, Interval-valued fuzzy sets constructed from matrices: Application to edge detection. Fuzzy Sets and Systems , 2008. [ bib ]
2007
[31] H. BUSTINCE, E. BARRENECHEA, M. PAGOLA, Construction of fuzzy indices from fuzzy di-subsethood measures: Application to the global comparison of images. Information Sciences , 177:906-929, 2007. [ bib ]
[32] H. BUSTINCE, E. BARRENECHEA, M. PAGOLA, Image thresholding using restricted equivalence functions and maximizing the measures of similarity. Fuzzy Sets and Systems , 158:496-516, 2007. [ bib ]
[33] J. MONTERO, D. GOMEZ, H. BUSTINCE, On the relevance of some families of fuzzy sets. Fuzzy Sets and Systems , 158:2429-2442, 2007. [ bib ]
[34] H. BUSTINCE, E. BARRENECHEA, J. MONTERO, M. PAGOLA, Semiautoduality in a restricted family of aggregation operators. Fuzzy Sets and Systems , 158:1360-1377, 2007. [ bib ]
[35] H. BUSTINCE, E. BARRENECHEA, M. PAGOLA, R. ORDUNA, Image Thresholding Computation Using Atanassov's Intuitionistic Fuzzy Sets. Journal of Advanced Computational Intelligence and Intelligent Informatics , 11:187-194, 2007. [ bib ]
[36] J. MONTERO, D. GOMEZ, H. BUSTINCE, Atanassov's intuitionistic fuzzy sets as a classification model. Lecture Notes in Artificial Intelligence , 4529:69-75, 2007. [ bib ]
2006
[37] L. ZABALZA, J. MARTI-CLIMENT, E. PRIETO, M. GOMEZ, P. LECUMBERRI, H. BUSTINCE, J. ARBIZU, Image quality assessment of different iterative reconstruction on pet images: A phantom study. European Journal of Nuclear Medicine and Molecular Imaging , 33:314-314, 2006. [ bib ]
[38] E. PRIETO, J. MARTI-CLIMENT, M. GOMEZ, P. LECUMBERRI, H. BUSTINCE, J. ARBIZU, Partial volume correction in brain pet-fdg studies. European Journal of Nuclear Medicine and Molecular Imaging , 33:148-148, 2006. [ bib ]
[39] H. BUSTINCE, E. BARRENECHEA, M. PAGOLA, Restricted equivalence functions. Fuzzy Sets and Systems , 157:2333-2346, 2006. [ bib ]
[40] H. BUSTINCE, E. BARRENECHEA, M. PAGOLA, F. SORIA, Weak fuzzy s-subsethood measures. overlap index. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , 14:537-560, 2006. [ bib ]
[41] H. BUSTINCE, E. BARRENECHEA, M. PAGOLA, F. SORIA, Weak fuzzy S-subsethood measures. Overlap index . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , 14:537-560, 2006. [ bib ]
2005
[42] H. BUSTINCE, V. MOHEDANO, E. BARRENECHEA, M. PAGOLA, Definition and construction of fuzzy di-subsethood measures. Information Sciences , 176:3190-3231, 2005. [ bib ]
2004
[43] H. BUSTINCE, E. BARRENECHEA, V. MOHEDANO, Intuitionistic fuzzy implication operators. An Expression and Main Properties. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , 12:387-406, 2004. [ bib ]
2003
[44] H. BUSTINCE, P. BURILLO, F. SORIA, Automorphisms, negations and implication operators. Fuzzy Sets and Systems , 134:209-229, 2003. [ bib ]
2002
[45] E. AGUSTENCH, H. BUSTINCE, V. MOHEDANO, Model of least squares applied to the generalized modus ponens. Mathware & Soft Computing , 2:267-276, 2002. [ bib ]
2001
[46] H. BUSTINCE, P. BURILLO, Perturbation of intuitionistic fuzzy relations. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , 9:81-103, 2001. [ bib ]
2000
[47] H. BUSTINCE, Construction of intuitionistic fuzzy relations with predetermined properties. Fuzzy Sets and Systems , 109:379-403, 2000. [ bib ]
[48] H. BUSTINCE, Indicator of inclusion grade for interval-valued fuzzy sets. application to approximate reasoning based on interval-valued fuzzy sets. International Journal of Approximate Reasoning , 23:137-209, 2000. [ bib ]
[49] H. BUSTINCE, J. KACPRZYK, V. MOHEDANO, Intuitionistic fuzzy generators - application to intuitionistic fuzzy complementation. Fuzzy Sets and Systems , 114:485-504, 2000. [ bib ]
[50] H. BUSTINCE, P. BURILLO, Mathematical analysis of interval-valued fuzzy relations: Application to approximate reasoning. Fuzzy Sets and Systems , 113:205-219, 2000. [ bib ]
[51] H. BUSTINCE, J. KACPRZYK, V. MOHEDANO, Intuitionistic fuzzy generators. Application to intuitionistic fuzzy complementation. Fuzzy Sets and Systems , 114:485-505, 2000. [ bib ]
1998
[52] H. BUSTINCE, M. CALDERON, V. MOHEDANO, Some considerations about a least squares model for fuzzy rules of inference. Fuzzy Sets and Systems , 97:315-336, 1998. [ bib ]
1996
[53] P. BURILLO, H. BUSTINCE, Construction theorems for intuitionistic fuzzy sets. Fuzzy Sets and Systems , 84:271-281, 1996. [ bib ]
[54] P. BURILLO, H. BUSTINCE, Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets. Fuzzy Sets and Systems , 78:271-281, 1996. [ bib ]
[55] H. BUSTINCE, L. GONZALEZ, Research activities in fuzzy set theory and applications at the computation science and artificial intelligence group in public university of navarre, pamplona, spain. Fuzzy Sets and Systems , 82:123-124, 1996. [ bib ]
[56] H. BUSTINCE, P. BURILLO, Structures on intuitionistic fuzzy relations. Fuzzy Sets and Systems , 78:293-303, 1996. [ bib ]
[57] H. BUSTINCE, P. BURILLO, Vague sets are intuitionistic fuzzy sets. Fuzzy Sets and Systems , 79:403-405, 1996. [ bib ]
1995
[58] H. BUSTINCE, P. BURILLO, Correlation of interval-valued intuitionistic fuzzy-sets. Fuzzy Sets and Systems , 74:237-244, 1995. [ bib ]
[59] J. KACPRZYK, P. BURILLO, H. BUSTINCE, K. ATANASSOV, P. ANGELOV, L. KUNCHEVA, A. SHANNON, A Decision making methods base don elements of intuitionistic fuzzy sets and their software implementation. Notes on Intuitionistic Fuzzy Sets , 1:40-41, 1995. [ bib ]
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