Artículos de revista DAC - AKS Aldizkari artikuluak

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Browsing Artículos de revista DAC - AKS Aldizkari artikuluak by Subject "Aggregation function"

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    PublicationOpen Access
    Consensus image method for unknown noise removal
    (Elsevier, 2014) González Jaime, Luis; Kerre, Etienne E.; Nachtegael, Mike; Bustince Sola, Humberto; Automática y Computación; Automatika eta Konputazioa
    Noise removal has been, and it is nowadays, an important task in computer vision. Usually, it is a previous task preceding other tasks, as segmentation or reconstruction. However, for most existing denoising algorithms the noise model has to be known in advance. In this paper, we introduce a new approach based on consensus to deal with unknown noise models. To do this, different filtered images are obtained, then combined using multifuzzy sets and averaging aggregation functions. The final decision is made by using a penalty function to deliver the compromised image. Results show that this approach is consistent and provides a good compromise between filters.
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    PublicationOpen Access
    Some properties of implications via aggregation functions and overlap functions
    (Taylor & Francis, 2014) Zapata, Hugo; Bustince Sola, Humberto; Miguel Turullols, Laura de; Guerra Errea, Carlos; Automática y Computación; Automatika eta Konputazioa; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
    In this work, using the identification between implication operators and aggregation functions, we study the implication operators that are recovered from overlap functions. In particular, we focus in which properties of implication operators are preserved. We also study how negations can be defined in terms of overlap functions.