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Mostrando ítems 11-16 de 16
A compact evolutionary interval-valued fuzzy rule-based classification system for the modeling and prediction of real-world financial applications with imbalanced data
(IEEE, 2014)
Artículo / Artikulua,
The current financial crisis has stressed the need of obtaining more accurate prediction models in order to decrease the risk when investing money on economic opportunities. In addition, the transparency of the process ...
Aggregation functions to combine RGB color channels in stereo matching
(Optical Society of America, 2013)
Artículo / Artikulua,
In this paper we present a comparison study between different
aggregation functions for the combination of RGB color channels in stereo
matching problem. We introduce color information from images to the
stereo matching ...
Evolution in time of L-fuzzy context sequences
(Elsevier, 2016)
Artículo / Artikulua,
In this work, we consider a complete lattice L and we study L-fuzzy context sequences which
represent the evolution in time of an L-fuzzy context. To carry out this study, in the first part of
the paper, we consider n-ary ...
A first study on the use of interval-valued fuzzy sets with genetic tuning for classification with imbalanced data sets
(Springer, 2009)
Contribución a congreso / Biltzarrerako ekarpena,
Classification with imbalanced data-sets is one of the recent
challenging problems in Data Mining. In this framework, the class dis-
tribution is not uniform and the separability between the classes is often
difficult. ...
A decision tree based approach with sampling techniques to predict the survival status of poly-trauma patients
(Atlantis Press, 2017)
info:eu-repo/semantics/article,
Survival prediction of poly-trauma patients measure the quality of emergency services by comparing their predictions with the real outcomes. The aim of this paper is to tackle this problem applying C4.5 since it
achieves ...
Construction of capacities from overlap indexes
(Springer, 2017)
info:eu-repo/semantics/bookPart,
In this chapter, we show how the concepts of overlap function and overlap index can be used to define fuzzy measures which depend on the specific data of each considered problem.