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Unbalanced interval-valued OWA operators
(Springer Berlin Heidelberg, 2016)
Artículo / Artikulua,
In this work, we introduce a new class of functions defned on the
interval-valued setting. These functions extend classical OWA operators but
allow for diferent weighting vectors to handle the lower bounds and the ...
Image reduction using means on discrete product lattices
(IEEE, 2012)
Artículo / Artikulua,
We investigate the problem of averaging values on
lattices, and in particular on discrete product lattices. This
problem arises in image processing when several color values
given in RGB, HSL, or another coding scheme, ...
A framework for radial data comparison and its application to fingerprint analysis
(Elsevier, 2016)
Artículo / Artikulua,
This work tackles the comparison of radial data, and proposes comparison measures that are further applied to fingerprint analysis. First, we study the similarity of scalar and non-scalar radial data, elaborated on previous ...
IVTURS: A linguistic fuzzy rule-based classification system based on a new interval-valued fuzzy reasoning method with tuning and rule selection
(IEEE, 2013)
Artículo / Artikulua,
Interval-valued fuzzy sets have been shown to be a useful tool for dealing with the ignorance related to the definition of the linguistic labels. Specifically, they have been successfully applied to solve classification ...
Pre-aggregation functions: construction and an application
(IEEE, 2015)
Artículo / Artikulua,
In this work we introduce the notion of preaggregation
function. Such a function satisfies the same boundary
conditions as an aggregation function, but, instead of requiring
monotonicity, only monotonicity along some ...
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 ...
Using the Choquet integral in the fuzzy reasoning method of fuzzy rule-based classification systems
(MDPI, 2013)
Artículo / Artikulua,
In this paper we present a new fuzzy reasoning method in which the Choquet
integral is used as aggregation function. In this manner, we can take into account the
interaction among the rules of the system. For this reason, ...