Results 41 to 50 of about 5,406,970 (171)
Radar target classification using improved Dempster–Shafer theory
The Journal of Engineering, 2019 This study considers the problem of coarse classification of targets using multifunction radar. Several methods are available for classification such as decision trees, Dempster–Shafer, Bayes, neural networks, etc. A different approach to assign the mass
Parth Mehta +3 more
doaj +1 more source
Risk Analysis, Volume 46, Issue 11, November 2026.ABSTRACT The growing integration of artificial intelligence (AI)‐driven technologies into nuclear power plant (NPP) operations and maintenance holds significant potential to enhance safety, operational efficiency, and reliability. However, deploying such AI‐driven automation technologies in high‐consequence settings requires a rigorous, traceable, and ...
Muhammad Hammad Khalid +3 more
wiley +1 more source
Energies, 2016 The power transformer is one of the most critical and expensive components for the stable operation of the power system. Hence, how to obtain the health condition of transformer is of great importance for power utilities. Multi-attribute decision-making (
Lingjie Sun +5 more
doaj +1 more source
IEEE Access, 2022 Multi-granularity unbalanced hesitant fuzzy linguistic term set (MGUHFLTS) is an effective expression of linguistic information, which applied in multi-attribute group decision-making (MAGDM), meanwhile Dempster-Shafer evidence theory (DSET) is profound ...
Lili Rong
doaj +1 more source
The Greatest Mystery of Futures Studies
FUTURES &FORESIGHT SCIENCE, Volume 8, Issue 2, August 2026.ABSTRACT Futures studies has long lived with a puzzle: every domain the field investigates is already studied by some special science. Three familiar replies—that futures studies extracts insights, takes a longer view, or includes lay perspectives—each capture something real but do not, on closer inspection, individuate the field at the level of its ...
Veli Virmajoki
wiley +1 more source
Third-party library selection in IT projects under imperfect data using Dempster–Shafer theory
Радіоелектронні і комп'ютерні системиThis study focuses on a method for selecting third-party libraries for IT projects, which involves systematizing evaluation criteria and applying Dempster–Shafer theory of evidence to model imperfect data.
Alexander Lysenko, Igor Kononenko
doaj +1 more source
Multi‐Model Ensembles in Ecosystem Modeling: Challenges and Best Practices for Decision‐Making
Global Change Biology, Volume 32, Issue 8, August 2026.As ecosystem models increasingly inform environmental policy, markets, and climate‐related investments, this article highlights a critical but often overlooked issue: combining multiple models does not automatically make predictions more reliable.
Kaiyu Guan +21 more
wiley +1 more source
The Dempster–Shafer calculus for statisticians [PDF]
, 2008 The Dempster–Shafer (DS) theory of probabilistic reasoning is presented in terms of a semantics whereby every meaningful formal assertion is associated with a triple (p,q,r) where p is the probability “for” the assertion, q is the probability “against ...
Dempster, A.P.
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Non‐negative Gaussian estimation of variance components in random effects models
Canadian Journal of Statistics, Volume 54, Issue 2, June 2026.Abstract When used to estimate variance components (VCs), confidence intervals (CIs) can be truncated at zero, have a point estimate not in the quoted CI, be empty with positive probability, or be all‐inclusive. This is because they have conflicting dual roles, since they are considered to cover the parameter with a specified probability while also ...
André Plante, Michael Plante
wiley +1 more source
Data classification using the Dempster-Shafer method [PDF]
, 2014 In this paper, the Dempster-Shafer method is employed as the theoretical basis for creating data classification systems. Testing is carried out using three popular (multiple attribute) benchmark datasets that have two, three and four classes.
Roadknight, C +7 more
core +1 more source