Results 161 to 170 of about 10,216,557 (216)

Classification of soft decision-making methods via fuzzy parameterized fuzzy soft matrices and their performance-based statistical analysis in machine learning. [PDF]

PLoS One
Karakoç Ö, Memiş S, Sennaroglu B.
europepmc   +1 more source

Multimodal multi-instance evidence fusion neural networks for cancer survival prediction. [PDF]

Sci Rep
Luo H, Huang J, Ju H, Zhou T, Ding W.
europepmc   +1 more source

Assessment of Chinese local government disaster resilience based on the D-FAHP method. [PDF]

Sci Rep
Yang Z, Chen G, Guo X.
europepmc   +1 more source

BFLAFD: blockchain-enabled federated learning framework for adaptive fire detection in IIoT networks. [PDF]

Sci Rep
Desikan J, Singh SK, Jayanthiladevi A, Gupta H.   +3 more
europepmc   +1 more source

UbiQTree: Uncertainty quantification in XAI with tree ensembles. [PDF]

Patterns (N Y)
Dubey A, Anžel A, İlgen B, Hattab G.
europepmc   +1 more source

Design of Unattended Rain and Snow Protection Device for Total Station Based on D-S Evidence Fusion. [PDF]

Sensors (Basel)
Jia L, Liu Y, Du G, Li X, Wang Z, Lu Y, Zhang Z.   +6 more
europepmc   +1 more source

Toward a Dempster-Shafer theory of concepts [PDF]

International Journal of Approximate Reasoning, 2020
In this paper, we generalize the basic notions and results of Dempster-Shafer theory from predicates to formal concepts. Results include the representation of conceptual belief functions as inner measures of suitable probability functions, and a Dempster-
Alessandra Palmigiano, Apostolos Tzimoulis, Krishna Manoorkar   +2 more
exaly   +3 more sources

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On the fuzzy generalization of the Dempster-Shafer theory of evidence

2010 International Conference on Machine Learning and Cybernetics, 2010
In this paper we develop the fuzzy generalization of the Dempster-Shafer theory of evidence. Two pairs of fuzzy valued belief and plausibility functions are constructed by a fuzzy T-similarity relation. These functions take values in the fuzzy unit interval, a well known concept in fuzzy topology theory.
Eric C. C. Tsang, Degang Chen 0002
openaire   +1 more source

An improved algorithm for Dempster-Shafer theory of evidence

2008 3rd International Conference on Intelligent System and Knowledge Engineering, 2008
The computational complexity of reasoning within the Dempster-Shafer theory of evidence is one of the major points of criticism this formalism has to face. Various approximation algorithms have been suggested that aim at overcoming this difficulty. This paper presents an improved practical algorithm through reducing the number of focal elements in the ...
Qing Ye, Xiaoping Wu, Dingjun Zhai
openaire   +1 more source