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Your search keyword '"Bustince H"' showing total 26 results
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26 results on '"Bustince H"'

1. Fuzzy Integrals for Edge Detection

Author

Marco-Detchart, C., primary, Lucca, G., additional, Dimuro, G., additional, Asmus, T., additional, Lopez-Molina, C., additional, Borges, E., additional, Rincon, J. A., additional, Julian, V., additional, and Bustince, H., additional

Published
2023
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24. Two Methods for Image Compression/Reconstruction Using OWA Operators.

Author

Bustince, H., Paternain, D., De Baets, B., Calvo, T., Fodor, J., Mesiar, R., Montero, J., and Pradera, A.

Abstract

In this chapter we address image compression by means of two alternative algorithms. In the first algorithm, we associate to each image an interval-valued fuzzy relation, and we build an image which is n times smaller than the original one, by using two-dimensional OWA operators. The experimental results show that, in this case, best results are obtained with ME-OWA operators. In the second part of the work, we describe a reduction algorithm that replaces the image by several eigen fuzzy sets associated with it. We obtain these eigen fuzzy sets by means of an equation that relates the OWA operators we use and the relation (image) we consider. Finally, we present a reconstruction method based on an algorithm which minimizes a cost function, with this cost function built by means of two-dimensional OWA operators. [ABSTRACT FROM AUTHOR]

Published
2011
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25. Some Averaging Functions in Image Reduction.

Author

Paternain, D., Bustince, H., Fernandez, J., Beliakov, G., and Mesiar, R.

Abstract

In this work we propose a definition of weak local reduction operators and an algorithm that uses such operators to reduce images. We show how to construct local reduction operators by means of different aggregation functions. We also present several experimental results obtained using these aggregation functions-based reduction operators. [ABSTRACT FROM AUTHOR]

Published
2010
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26. Atanassov's Intuitionistic Fuzzy Sets as a Classification Model.

Author

Carbonell, Jaime G., Siekmann, Jörg, Melin, Patricia, Castillo, Oscar, Aguilar, Luis T., Kacprzyk, Janusz, Pedrycz, Witold, Montero, J., Gómez, D., and Bustince, H.

Abstract

In this paper we show that Atanassov's Intuitionistic Fuzzy sets can be viewed as a classification model, that can be generalized in order to take into account more classes than the three classes considered by Atanassov's (membership, non-membership and non-determinacy). This approach will imply, on one hand, to change the meaning of these classes, so each one will have a positive definition. On the other hand, this approach implies the possibility of a direct generalization for alternative logics and additional valuation states, being consistent with Atanassov's focuss. From this approach we shall stress the absence of any structure within those three valuation states in Atanassov's model. In particular, we consider this is the main cause of the dispute about Atanassov's model: acknowledging that the name intuitionistic is not appropriate, once we consider that a crisp direct graph is defined in the valuation space, formal differences with other three-state models will appear. [ABSTRACT FROM AUTHOR]

Published
2007
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