M. Pagola

发表

A Historical Account of Types of Fuzzy Sets and Their Relationships

Francisco Herrera, Zeshui Xu, Hani Hagras, 2016, IEEE Transactions on Fuzzy Systems.

A Survey of Interval‐Valued Fuzzy Sets

J. Montero, H. Bustince, M. Pagola, 2008 .

Co-occurrence of deep convolutional features for image search

H. Bustince, E. Tartas, M. Pagola, 2020, Image Vis. Comput..

Image segmentation using Atanassov's intuitionistic fuzzy sets

Humberto Bustince, Javier Fernández, Miguel Pagola, 2013, Expert systems with applications.

Generation of interval-valued fuzzy and atanassov's intuitionistic fuzzy connectives from fuzzy connectives and from K α operators: Laws for conjunctions and disjunctions, amplitude

H. Bustince, M. Pagola, E. Barrenechea, 2008 .

Semiautoduality in a restricted family of aggregation operators

Humberto Bustince, Javier Montero, Miguel Pagola, 2007, Fuzzy Sets Syst..

Image segmentation using A-IFSs

H. Bustince, M. Pagola, E. Barrenechea, 2008 .

Special construction of Atanassov’s intuitionistic fuzzy S-implications that maintain the Atanassov’s intuitionistic index

J. Montero, H. Bustince, M. Pagola, 2008 .

A methodforconstructing V.Young'sfuzzy subsethood measures andfuzzyentropies

H. Bustince, M. Pagola, V. Mohedano, 2006 .

STEREO MATCHING ALGORITHM USING INTERVAL VALUED FUZZY SIMILARITY

H. Bustince, M. Pagola, E. Barrenechea, 2008 .

Proximity Functions. Application to Fuzzy Thresholding

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2005, EUSFLAT Conf..

Vector valued similarity measures for Atanassov's intuitionistic fuzzy sets

Miguel Pagola, Tim Wilkin, Gleb Beliakov, 2014, Inf. Sci..

Interval Type-2 Fuzzy Sets Constructed From Several Membership Functions: Application to the Fuzzy Thresholding Algorithm

Humberto Bustince, Carlos Lopez-Molina, Javier Fernández, 2013, IEEE Transactions on Fuzzy Systems.

An IVFS-based image segmentation methodology for rat gait analysis

Humberto Bustince, Aranzazu Jurio, Miguel Pagola, 2011, Soft Comput..

The Need to Use Fuzzy Extensions in Fuzzy Thresholding Algorithms

Humberto Bustince, Javier Fernández, Miguel Pagola, 2011, 35 Years of Fuzzy Set Theory.

A Comparison Study of Different Color Spaces in Clustering Based Image Segmentation

Carlos Lopez-Molina, Aranzazu Jurio, Mikel Galar, 2010, IPMU.

A-IFSs Entropy Based Image Multi-thresholding

Humberto Bustince, Aranzazu Jurio, Miguel Pagola, 2010, IEA/AIE.

Relationship between restricted dissimilarity functions, restricted equivalence functions and normal EN-functions: Image thresholding invariant

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2008, Pattern Recognit. Lett..

Image Threshold Computation by Modelizing Knowledge/Unknowledge by Means of Atanassov's Intuitionistic Fuzzy Sets

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2008, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models.

Image Threshold Using A-IFSs Based on Bounded Histograms

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2007, IFSA.

Image Thresholding Computation Using Atanassov's Intuitionistic Fuzzy Sets

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2007, J. Adv. Comput. Intell. Intell. Informatics.

New measures for comparing matrices and their application to image processing

Humberto Bustince, Radko Mesiar, Miguel Pagola, 2018, Applied Mathematical Modelling.

Two-step Algorithm for Image Inpainting

Humberto Bustince, Aranzazu Jurio, Miguel Pagola, 2017, EUSFLAT/IWIFSGN.

Forest fire detection: A fuzzy system approach based on overlap indices

Humberto Bustince, Aranzazu Jurio, Miguel Pagola, 2017, Appl. Soft Comput..

Paired structures in knowledge representation

Humberto Bustince, Javier Montero, Javier Fernández, 2016, Knowl. Based Syst..

New measures of homogeneity for image processing: an application to fingerprint segmentation

Witold Pedrycz, Humberto Bustince, Aranzazu Jurio, 2013, Soft Computing.

Construction of Interval Type-2 Fuzzy Sets From Fuzzy Sets: Methods and Applications

Humberto Bustince, Carlos Lopez-Molina, Javier Fernández, 2013, Advances in Type-2 Fuzzy Sets and Systems.

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

Humberto Bustince, Javier Fernández, Miguel Pagola, 2010, Pattern Recognit..

Contrast of a fuzzy relation

Humberto Bustince, Javier Montero, Javier Fernández, 2010, Inf. Sci..

Interval-valued fuzzy sets constructed from matrices: Application to edge detection

Humberto Bustince, Javier Fernández, Miguel Pagola, 2009, Fuzzy Sets Syst..

A Survey of Applications of the Extensions of Fuzzy Sets to Image Processing

Humberto Bustince, Aranzazu Jurio, Miguel Pagola, 2009, Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition.

Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound Images

Aranzazu Jurio, Mikel Galar, Miguel Pagola, 2009, IFSA/EUSFLAT Conf..

Interval-Valued Restricted Equivalence Functions Applied on Clustering Techniques

Carlos Lopez-Molina, Aranzazu Jurio, Miguel Pagola, 2009, IFSA/EUSFLAT Conf..

Construction of Interval Type 2 Fuzzy Images to Represent Images in Grayscale. False Edges

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2007, 2007 IEEE International Fuzzy Systems Conference.

Aggregation of Deep Features for Image Retrieval Based on Object Detection

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2019, IbPRIA.

A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal

Humberto Bustince, Carlos Lopez-Molina, Mikel Galar, 2015, Knowl. Based Syst..

A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models

Francisco Herrera, Humberto Bustince, Carlos Lopez-Molina, 2015, Knowl. Based Syst..

A survey of fingerprint classification Part II

Francisco Herrera, Humberto Bustince, Carlos Lopez-Molina, 2015 .

Decision making with an interval-valued fuzzy preference relation and admissible orders

Humberto Bustince, Aranzazu Jurio, Miguel Pagola, 2015, Appl. Soft Comput..

Construction of interval-valued fuzzy preference relations from ignorance functions and fuzzy preference relations. Application to decision making

Humberto Bustince, Javier Fernández, Miguel Pagola, 2014, Knowl. Based Syst..

Grouping, Overlap, and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons

Eyke Hüllermeier, Francisco Herrera, Humberto Bustince, 2012, IEEE Transactions on Fuzzy Systems.

The Origin of Fuzzy Extensions

Humberto Bustince, Javier Montero, Javier Fernández, 2015, Handbook of Computational Intelligence.

Generation of Interval-Valued Fuzzy Negations from Trillas' Theorem. The Case of Interval Type-2 Fuzzy Sets

Humberto Bustince, Javier Montero, Javier Fernández, 2015, A Passion for Fuzzy Sets.

From Trillas' Negations and Antonyms to a Set Representation of Contradiction Within Bipolar and Other Extensions of Fuzzy Sets

Humberto Bustince, Javier Montero, Javier Fernández, 2015, Accuracy and Fuzziness.

Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Toward a Wider View on Their Relationship

Francisco Herrera, Hani Hagras, Humberto Bustince, 2015, IEEE Transactions on Fuzzy Systems.

Generation of interval‐valued fuzzy and atanassov's intuitionistic fuzzy connectives from fuzzy connectives and from Kα operators: Laws for conjunctions and disjunctions, amplitude

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2008, Int. J. Intell. Syst..

A method for constructing V. Young's fuzzy subsethood measures and fuzzy entropies

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2006, 2006 3rd International IEEE Conference Intelligent Systems.

Laws for conjunctions and disjunctions in interval type 2 fuzzy sets

Humberto Bustince, Javier Montero, Miguel Pagola, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system

Humberto Bustince, Aranzazu Jurio, Mikel Galar, 2014, Appl. Soft Comput..

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

Francisco Herrera, Humberto Bustince, Miguel Pagola, 2011, 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ).

Construction of interval-valued fuzzy entropy invariant by translations and scalings

Humberto Bustince, Javier Fernández, Miguel Pagola, 2010, Soft Comput..

Weak Fuzzy S-Subsethood Measures: Overlap Index

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2006, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Restricted equivalence functions

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2006, Fuzzy Sets Syst..

Construction of fuzzy indices from fuzzy DI-subsethood measures: Application to the global comparison of images

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2007, Inf. Sci..

Uncertainties with Atanassov's intuitionistic fuzzy sets: Fuzziness and lack of knowledge

Humberto Bustince, Miguel Pagola, Nikhil R. Pal, 2013, Inf. Sci..

Image thresholding using restricted equivalence functions and maximizing the measures of similarity

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2007, Fuzzy Sets Syst..

Generalized Atanassov's Intuitionistic Fuzzy Index. Construction Method

Humberto Bustince, Javier Fernández, Miguel Pagola, 2009, IFSA/EUSFLAT Conf..

Capacities and overlap indexes with an application in fuzzy rule-based classification systems

Humberto Bustince, Radko Mesiar, Anna Kolesárová, 2016, Fuzzy Sets Syst..

Paired structures and bipolar knowledge representation

J. T. Rodríguez, J. Montero, H. Bustince, 2014 .

MSAP Working Paper Series No . 06 / 2014 Paired structures and bipolar knowledge representation

J. T. Rodríguez, J. Montero, H. Bustince, 2014 .

Colour Image Segmentation using A-IFSs

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2009, IFSA/EUSFLAT Conf..

Uncertainty in multilevel image thresholding using Atanassov’s intuitionistic fuzzy sets

Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Color Image Magnification with Interval-Valued Fuzzy Sets

Humberto Bustince, Aranzazu Jurio, Miguel Pagola, 2011, Eurofuse.

Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images

Humberto Bustince, Miguel Pagola, Hamid R. Tizhoosh, 2010, Fuzzy Sets Syst..

Some properties of overlap and grouping functions and their application to image thresholding

Humberto Bustince, Aranzazu Jurio, Miguel Pagola, 2013, Fuzzy Sets Syst..

New method to assess barley nitrogen nutrition status based on image colour analysis

Humberto Bustince, Miguel Pagola, Edurne Barrenechea, 2009 .

Decision Making with Extensions of Fuzzy Sets: An Application to Disaster Management

Humberto Bustince, Carlos Lopez-Molina, Miguel Pagola, 2013 .

The Notions of Overlap and Grouping Functions

Humberto Bustince, Javier Fernández, Miguel Pagola, 2016, On Logical, Algebraic, and Probabilistic Aspects of Fuzzy Set Theory.