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A survey on fingerprint minutiae-based local matching for verification and identification: taxonomy and experimental evaluation
(Elsevier, 2015)
Artículo / Artikulua,
Fingerprint recognition has found a reliable application for verification or identification of people in biometrics. Globally, fingerprints can be viewed as valuable traits due to several perceptions observed by the experts; ...
IIVFDT: ignorance functions based interval-valued fuzzy decision tree with genetic tuning
(World Scientific Publishing Company, 2012)
Artículo / Artikulua,
The choice of membership functions plays an essential role in the success of fuzzy systems. This is a complex problem due to the possible lack of knowledge when assigning punctual values as membership degrees. To face this ...
A genetic tuning to improve the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets: degree of ignorance and lateral position
(Elsevier, 2011)
Artículo / Artikulua,
Fuzzy Rule-Based Systems are appropriate tools to deal with classification problems due to their good properties. However, they can suffer a lack of system accuracy as a result of the uncertainty inherent in the definition ...
Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system
(Elsevier, 2013)
Artículo / Artikulua,
Objective: To develop a classifier that tackles the problem of determining the risk of a patient of suffering from a cardiovascular disease within the next ten years. The system has to provide both a diagnosis and an ...
Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning
(Elsevier, 2010)
Artículo / Artikulua,
Among the computational intelligence techniques employed to solve classification problems,
Fuzzy Rule-Based Classification Systems (FRBCSs) are a popular tool because of their
interpretable models based on linguistic ...
Generalizing max pooling via (a, b)-grouping functions for convolutional neural networks
(Elsevier, 2023)
Artículo / Artikulua,
Due to their high adaptability to varied settings and effective optimization algorithm, Convolutional Neural
Networks (CNNs) have set the state-of-the-art on image processing jobs for the previous decade. CNNs work in
a ...
Some characterizations of lattice OWA operators
(World Scientific Publishing Company, 2017)
Artículo / Artikulua,
Ordered Weighted Averaging (OWA) operators are a family of aggregation which fusion data. If the data are real numbers, then OWA operators can be characterized either as an special kind of Choquet integral or simply as an ...
Pseudo overlap functions, fuzzy implications and pseudo grouping functions with applications
(MDPI, 2022)
Artículo / Artikulua,
Overlap and grouping functions are important aggregation operators, especially in information fusion, classification and decision-making problems. However, when we do more in-depth application research (for example, ...
Linking mathematical morphology and L-fuzzy concepts
(World Scientific, 2017)
Artículo / Artikulua,
In this paper we study the relation between L-fuzzy morphology and L-fuzzy concepts
over complete lattices. In particular, we show how the erosion and dilation operators of
the former can be understood in terms of the ...
FUZZ-EQ: a data equalizer for boosting the discrimination power of fuzzy classifiers
(Elsevier, 2020)
info:eu-repo/semantics/article,
The definition of linguistic terms is a critical part of the construction of any fuzzy classifier. Fuzzy partitioning methods (FPMs) range from simple uniform partitioning to sophisticated optimization algorithms. In this ...