Search Results - "Barrenechea, E"

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  1. 1

    Interval-valued fuzzy sets constructed from matrices: Application to edge detection by Bustince, H., Barrenechea, E., Pagola, M., Fernandez, J.

    Published in Fuzzy sets and systems (01-07-2009)
    “…In this paper we present a method to construct interval-valued fuzzy sets (or interval type 2 fuzzy sets) from a matrix (or image), in such a way that we…”
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  2. 2

    Image thresholding using restricted equivalence functions and maximizing the measures of similarity by Bustince, H., Barrenechea, E., Pagola, M.

    Published in Fuzzy sets and systems (01-03-2007)
    “…In this paper we apply restricted equivalence functions to the computation of the threshold of an image. In the first part we present an algorithm for…”
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  3. 3
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    Restricted equivalence functions by Bustince, H., Barrenechea, E., Pagola, M.

    Published in Fuzzy sets and systems (01-09-2006)
    “…In this paper we present the concept of a restricted equivalence function. This concept arises on the one hand, from the definition of equivalence given by J…”
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  5. 5

    Multiscale edge detection based on Gaussian smoothing and edge tracking by Lopez-Molina, C., De Baets, B., Bustince, H., Sanz, J., Barrenechea, E.

    Published in Knowledge-based systems (01-05-2013)
    “…The human vision is usually considered a multiscale, hierarchical knowledge extraction system. Inspired by this fact, multiscale techniques for computer vision…”
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  6. 6

    Definition and construction of fuzzy DI-subsethood measures by Bustince, H., Mohedano, V., Barrenechea, E., Pagola, M.

    Published in Information sciences (03-11-2006)
    “…In this paper we study a method of construction of the fuzzy subsethood measures of V.R. Young [V.R. Young, Fuzzy subsethood, Fuzzy Sets and Systems 77 (1996)…”
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  7. 7

    An alternative to fuzzy methods in decision-making problems by Paternain, D., Jurio, A., Barrenechea, E., Bustince, H., Bedregal, B., Szmidt, E.

    Published in Expert systems with applications (01-07-2012)
    “…► Construction of intuitionistic fuzzy preference relations from fuzzy preference relations. ► The ignorance of the expert is taken into account in the…”
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  8. 8

    Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images by Bustince, H., Pagola, M., Barrenechea, E., Fernandez, J., Melo-Pinto, P., Couto, P., Tizhoosh, H.R., Montero, J.

    Published in Fuzzy sets and systems (2010)
    “…In this paper, we define the concept of an ignorance function and use it to determine the best threshold with which to binarize an image. We introduce a method…”
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  9. 9

    Semiautoduality in a restricted family of aggregation operators by Bustince, H., Montero, J., Barrenechea, E., Pagola, M.

    Published in Fuzzy sets and systems (16-06-2007)
    “…In this paper we consider aggregation operators satisfying non-decreasingness and some specific boundary conditions. We then analyze some properties of such a…”
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  10. 10

    Topological interpretations of fuzzy subsets. A unified approach for fuzzy thresholding algorithms by Barrenechea, E., Bustince, H., Campión, M.J., Induráin, E., Knoblauch, V.

    Published in Knowledge-based systems (01-12-2013)
    “…We show that the classical definition of a fuzzy subset carries additional structures of a topological nature. We look at the concept of a fuzzy subset and its…”
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    Relationship between restricted dissimilarity functions, restricted equivalence functions and normal E N -functions: Image thresholding invariant by Bustince, H., Barrenechea, E., Pagola, M.

    Published in Pattern recognition letters (01-03-2008)
    “…In this paper, we present the definition of restricted dissimilarity function. This definition arises from the concepts of dissimilarity and equivalence…”
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  15. 15

    Construction of fuzzy indices from fuzzy DI-subsethood measures: Application to the global comparison of images by Bustince, H., Pagola, M., Barrenechea, E.

    Published in Information sciences (01-02-2007)
    “…Two measures are presented for comparing fuzzy sets. The method for constructing these measures is studied, starting from fuzzy DI-subsethood measures (see [H…”
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  16. 16

    Consensus in multi-expert decision making problems using penalty functions defined over a Cartesian product of lattices by Bustince, H., Barrenechea, E., Calvo, T., James, S., Beliakov, G.

    Published in Information fusion (01-05-2014)
    “…In this paper we introduce an algorithm to aggregate the preference relations provided by experts in multi-expert decision making problems. Instead of using a…”
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  17. 17

    Ordered directional monotonicity in the construction of edge detectors by Marco-Detchart, C., Bustince, H., Fernandez, J., Mesiar, R., Lafuente, J., Barrenechea, E., Pintor, J.M.

    Published in Fuzzy sets and systems (30-09-2021)
    “…In this paper we provide a specific construction method of ordered directionally monotone functions. We show that the functions obtained with this construction…”
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  18. 18

    Construction of Interval-Valued Fuzzy Relations With Application to the Generation of Fuzzy Edge Images by Barrenechea, E., Bustince, H., De Baets, B., Lopez-Molina, C.

    Published in IEEE transactions on fuzzy systems (01-10-2011)
    “…In this paper, we present a new construction method for interval-valued fuzzy relations (interval-valued fuzzy images) from fuzzy relations (fuzzy images) by…”
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    Generation of interval-valued fuzzy and atanassov's intuitionistic fuzzy connectives from fuzzy connectives and from Kα operators: Laws for conjunctions and disjunctions, amplitude by Bustince, H., Barrenechea, E., Pagola, M.

    “…In this paper, we study in‐depth certain properties of interval‐valued fuzzy sets and Atanassov's intuitionistic fuzzy sets (A‐IFSs). In particular, we study…”
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  20. 20

    Pre-arrest heparinization and ventilation during warm ischemia preserves lung function in non-heart-beating donors by Boglione, Mariano M, Morandini, Miguel A, Barrenechea, Marcelo E, Rubio, Ramón A, Aguilar, Delio

    Published in Journal of pediatric surgery (01-12-1999)
    “…Background/Purpose: To solve the problem of donor scarcity, many attempts have been made including improved community education, relaxed organ acceptance…”
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