Results 101 to 110 of about 3,295 (140)

A Fuzzy Integral Ensemble Method in Visual P300 Brain-Computer Interface. [PDF]

Comput Intell Neurosci, 2016
Cavrini F, Bianchi L, Quitadamo LR, Saggio G.   +3 more
europepmc   +1 more source

Trait-mediated speciation and human-driven extinctions in proboscideans revealed by unsupervised Bayesian neural networks. [PDF]

Sci Adv
Hauffe T, Cantalapiedra JL, Silvestro D.
europepmc   +1 more source

An extension of the best-worst method based on the spherical fuzzy sets for multi-criteria decision-making. [PDF]

Granul Comput
Haseli G, Sheikh R, Ghoushchi SJ, Hajiaghaei-Keshteli M, Moslem S, Deveci M, Kadry S.   +6 more
europepmc   +1 more source

Generalized global solar radiation forecasting model via cyber-secure deep federated learning. [PDF]

Environ Sci Pollut Res Int
Moradzadeh A, Moayyed H, Mohammadi-Ivatloo B, Aguiar AP, Anvari-Moghaddam A, Abdul-Malek Z.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Quantitative Approximation by Nonlinear Picard–Choquet, Gauss–Weierstrass–Choquet and Poisson–Cauchy–Choquet Singular Integrals

Results in Mathematics, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sorin G Gal
exaly   +3 more sources

A Nonlinear Multiregression Model Based on the Choquet Integral with a Quadratic Core

2010 IEEE International Conference on Granular Computing, 2010
Signed efficiency measures with relevant nonlinear integrals can be used to treat data that have strong interaction among contributions from various attributes towards a certain objective attribute. The Choquet integral is the most common nonlinear integral.
Nian Yan, Yong Shi
exaly   +2 more sources

A New Nonlinear Choquet-Like Integral With Applications in Normal Distributions Based on Monotone Measures

IEEE Transactions on Fuzzy Systems, 2020
In the theory of fuzzy measures, Choquet integral is one of the most important tools. The calculation of Choquet integral on real line is difficult for many cases such as nonmonotone functions. In this paper, by the geometric interpretation of Choquet integral, we introduce a new Choquet-like integral with a different algebraic interpretation of ...
Hossein Mehri-Dehnavi, Hamzeh Agahi, Radko Mesiar   +2 more
exaly   +2 more sources

A Nonlinear Integral Which Generalizes Both the Choquet and the Sugeno Integral

Advances in Intelligent and Soft Computing, 2010
The Choquet and the Sugeno integral provide a useful tool in many problems in engineering and social choice where the aggregation of data is required. However, their applicability is somehow restricted because of the special operations used in the construction of these integrals.
Erich Peter Klement, Radko Mesiar, Endre Pap   +2 more
exaly   +2 more sources

Analysis to the Contributions from Feature Attributes in Nonlinear Classification Based on the Choquet Integral

2010 IEEE International Conference on Granular Computing, 2010
A detailed discussion on contributions from feature attributes to the classifying attribute in the nonlinear classification model based on the Choquet integral is given in this paper. The work provides a new understanding to the geometric structure of the model with contribution rates from the feature attributes towards the classification, as well as ...
Yong Shi
exaly   +2 more sources