Results 31 to 40 of about 13,159 (226)
COMBINATION OF GENETIC ALGORITHM AND DEMPSTER-SHAFER THEORY OF EVIDENCE FOR LAND COVER CLASSIFICATION USING INTEGRATION OF SAR AND OPTICAL SATELLITE IMAGERY [PDF]
The integration of different kinds of remotely sensed data, in particular Synthetic Aperture Radar (SAR) and optical satellite imagery, is considered a promising approach for land cover classification because of the complimentary properties of each data ...
H. T. Chu, L. Ge
doaj +1 more source
The paper proposes a method for circuit breaker state judgment based on ant colony algorithm-optimized Dempster-Shafer evidence theory.It can improve the accuracy and robustness of state judgment.
Qian Zhang +6 more
doaj +1 more source
Locating Facilities in Uncertainty Conditions based on D Number Theory [PDF]
Organizational senior managers decide about Facility location under uncertainty and lack of enough Information, while the decision is time consuming, scientific and strategic. To select the optimal facility location, scholars have proposed a variety of
Reza Shaikh, Hanieh Shambaiati
doaj
Interpretable Clustering Using Dempster-Shafer Theory [PDF]
This study presents DSClustering, a novel algorithm that merges clustering validity with interpretability using the Dempster-Shafer theory. Traditional clustering methods like K-means, DBSCAN, and agglomerative clustering, while widely used for their ...
Aram Adamyan +4 more
doaj +3 more sources
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang +8 more
wiley +1 more source
Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective [PDF]
We revisit logistic regression and its nonlinear extensions, including multilayer feedforward neural networks, by showing that these classifiers can be viewed as converting input or higher-level features into Dempster–Shafer mass functions and ...
T. Denoeux
semanticscholar +1 more source
A perspective on automated rapid eye movement sleep assessment
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley +1 more source
Stock portfolio selection using Dempster–Shafer evidence theory
Markowitz’s return–risk model for stock portfolio selection is based on the historical return data of assets. In addition to the effect of historical return, there are many other critical factors which directly or indirectly influence the stock market ...
Gour Sundar Mitra Thakur +2 more
doaj +1 more source
Keypoint descriptor fusion with Dempster–Shafer theory
Keypoint matching is the task of accurately nding the location of a scene point in two images. Many keypoint descriptors have been proposed in the literature aiming at providing robustness against scale, translation and rotation transformations, each having advantages and disadvantages.
Víctor Manuel Mondéjar-Guerra +4 more
openaire +4 more sources
The Additive Logic of Epistemic Reasons: An Axiomatic Account
ABSTRACT The article argues for a system of axioms that is meant to capture the logic of normative reasons for belief. The system concerns a primitive direct‐reason relation, a defined doxastic‐reason relation, and a primitive function for the revision of rational belief by reasons.
Hannes Leitgeb
wiley +1 more source

