Results 111 to 120 of about 57,524 (174)

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

Navigating Cross-Border E-Commerce: Prioritizing Logistics Partners with Hybrid MCGDM. [PDF]

Entropy (Basel)
Ma X, Wang C.
europepmc   +1 more source

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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.
H. Mehri-Dehnavi, H. Agahi, R. Mesiar
semanticscholar   +2 more sources

Solving nonlinear programming problems based on the Choquet integral by a genetic algorithm

Journal of Intelligent & Fuzzy Systems, 2015
Abstract Nonadditive set functions represent contribution rate of individual feature attributes and combinations of feature attributes toward the target. Their nonadditivity describes the interaction among contributions. The generalized weighted Choquet integral with respect to a nonadditive set function serves as an aggregation ...
Naomi Kochi, Zhenyuan Wang
semanticscholar   +2 more sources

Efficient and Scalable Nonlinear Multiple Kernel Aggregation Using the Choquet Integral

International Conference on Information Processing and Management of Uncertainty, 2014
Previously, we investigated the definition and applicability of the fuzzy integral (FI) for nonlinear multiple kernel (MK) aggregation in pattern recognition. Kernel theory provides an elegant way to map multi-source heterogeneous data into a combined homogeneous (implicit) space in which aggregation can be carried out.
Lequn Hu, Derek T. Anderson, T. Havens, J. Keller   +3 more
semanticscholar   +2 more sources

On pseudo gradient search for solving nonlinear multiregression with the Choquet integral

2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013
The objective function in some real optimization problems may not be differentiable with respect to the unknown parameters at some points such that the gradient does not exist at those points. Replacing the classical gradient search, the method of pseudo gradient search has been proposed and used for solving nonlinear optimization problems, such as ...
Bo Guo, Li Zhang-Westman, Zhenyuan Wang
semanticscholar   +2 more sources

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.
S. Gal
semanticscholar   +3 more sources

Generalized Nonlinear Classification Model Based on Cross-Oriented Choquet Integral

IAPR International Conference on Machine Learning and Data Mining in Pattern Recognition, 2012
A generalized nonlinear classification model based on cross-oriented Choquet integrals is presented. A couple of Choquet integrals are used in this model to achieve the classification boundaries which can classify data in such situation as one class surrounding another one in a high dimensional space. The values of unknown parameters in the generalized
Rong Yang, Zhenyuan Wang
semanticscholar   +2 more sources

Choquet integral representations of nonlinear filters with applications to ladar image processing

SPIE Proceedings, 1998
The paper describes the application of Choquet integral filters to automatic object detection in laser radar (LADAR) imagery. Choquet integrals are nonlinear integrals with respect to non-additive measures. These integrals can be used to represent typical nonlinear filters such as order statistic filters, linear combination of order statistic filters ...
A. K. Hocaoglu, P. Gader
semanticscholar   +2 more sources