Results 51 to 60 of about 13,159 (226)
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
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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
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Risk Analysis, Volume 46, Issue 6, June 2026.ABSTRACT Sea lanes of communication (SLOC) are perceived as intricate systems comprising shipping routes, key straits, and canals, which are increasingly vulnerable to external disruptions. This study proposes a holistic framework for resilience assessment on the system by introducing an advanced framework incorporating fuzzy logic, a critic weight ...
Hanwen Fan +4 more
wiley +1 more source
An Evidential Aggregation Method of Intuitionistic Fuzzy Sets Based on Belief Entropy
IEEE Access, 2019 Intuitionistic fuzzy sets (IFSs) are essential in the multi-criteria decision making (MCDM) under uncertain environment. However, how to reasonably aggregate them with considering the uncertainty contained in the IFSs is still an open issue.
Zeyi Liu, Fuyuan Xiao
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An Extended Intuitionistic Fuzzy Cognitive Map via Dempster-Shafer Theory
IEEE Access, 2020 Fuzzy cognitive map has gradually emerged as a powerful paradigm for uncertain knowledge representation and a simulation mechanism that is applicable in dealing with complex artificial reasoning problems.
Zhuosheng Jia +2 more
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Theoretical Economics, Volume 21, Issue 2, Page 373-401, May 2026.Models of stochastic choice typically use conditional choice probabilities given menus as the primitive for analysis, but in the field these are often hard to observe. We consider the case where an analyst has access to a marginal stochastic choice dataset containing the marginal distributions of available menus and of choices, but not to conditional ...
Yaron Azrieli, John Rehbeck
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Desenvolvimento em Questão, 2008 In this work it´s argued that the Dempster-Shafer Theory of Evidence permits a statistical foundation of the Analysis-Diagnosis of Agrarian Systems. From a discussion of the difficulties to make statistical inferences about behavior of complex systems ...
Benedito Silva Neto
doaj
A New Belief Entropy Based on Deng Entropy
Entropy, 2019 For Dempster−Shafer evidence theory, how to measure the uncertainty of basic probability assignment (BPA) is still an open question. Deng entropy is one of the methods for measuring the uncertainty of Dempster−Shafer evidence.
Dan Wang, Jiale Gao, Daijun Wei
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Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion
Entropy, 2022 Dempster–Shafer evidence theory is widely used in modeling and reasoning uncertain information in real applications. Recently, a new perspective of modeling uncertain information with the negation of evidence was proposed and has attracted a lot of ...
Yongchuan Tang, Yong Chen, Deyun Zhou
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Engineering Reports, Volume 8, Issue 4, April 2026.This figure illustrates the architecture of the PMCB fault diagnosis model with multi‐source heterogeneous cross‐modal fusion. It integrates core modules to realize high‐precision, low false‐alarm condition monitoring and diagnosis. ABSTRACT Aiming at the defects of current diagnosis methods for Primary and Secondary Integrated Pole Mounted Circuit ...
Rongrong Shan +3 more
wiley +1 more source