Using the Dempster-Shafer theory of evidence to resolve ABox inconsistencies
, 2008 Automated ontology population using information extraction algorithms can produce inconsistent knowledge bases. Confidence values assigned by the extraction algorithms may serve as evidence in helping to repair inconsistencies. The Dempster-Shafer theory
Uren, Victoria +7 more
core +1 more source
An extension of case-based decision theory by using Dempster–Shafer theory of evidence
, 2018 Purpose This study aims to propose a new decision-making method by integrating case-based decision theory and the Dempster–Shafer theory of evidence. Design/methodology/approach The study developed the entire computational procedures for the proposed ...
Feiyan Liu, Fei Du
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Flexible Risk Evidence Combination Rules in Breast Cancer Precision Therapy. [PDF]
J Pers Med, 2023 Kenn M +4 more
europepmc +1 more source
A Networked Method for Multi-Evidence-Based Information Fusion. [PDF]
Entropy (Basel), 2022 Liang Q, Liu Z, Chen Z.
europepmc +1 more source
Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy. [PDF]
Entropy (Basel), 2023 Wu L, Tang Y, Zhang L, Huang Y.
europepmc +1 more source
Genetic tuning fuzzy dempster-shafer decision rules [PDF]
, 2002 The objective of this paper is to employ the Dempster-Shafer theory (DST) as a vehicle supporting the generation of fuzzy decision rules. The concept of fuzzy granulation realized via fuzzy clustering is aimed at the discretization of continuous ...
Walijewski, J. S., Sosnowski, Z. A.
core
Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre- and Peri-COVID-19 Pandemic Retrospective Study. [PDF]
J Med Internet Res, 2022 Maghsoudi A +7 more
europepmc +1 more source
Recognition Situations Using Extended Dempster-Shafer Theory [PDF]
, 2011 Weiser’s [111] vision of pervasive computing describes a world where technology seamlessly integrates into the environment, automatically responding to peoples’ needs.
McKeever, Susan
core
A novel BPA derivation method using linguistic fuzzy sets in dempster-shafer theory
In this study, we present a new method for developing Basic Probability Assignment (BPA) using Linguistic Fuzzy Sets (LFS). Dempster-Shafer Theory (DST) is used to efficiently combine different data sources. The use of LFS provides a robust structure for
Şahin, Rıdvan, Başkan, Elif
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Managing uncertainty of expert's assessment in FMEA with the belief divergence measure. [PDF]
Sci Rep, 2022 Liu Y, Tang Y.
europepmc +1 more source