Fractional Deng Entropy and Extropy and Some Applications [PDF]
Entropy, 2021 Deng entropy and extropy are two measures useful in the Dempster–Shafer evidence theory (DST) to study uncertainty, following the idea that extropy is the dual concept of entropy.
Mohammad Reza Kazemi +3 more
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Measuring the Uncertainty in the Original and Negation of Evidence Using Belief Entropy for Conflict Data Fusion [PDF]
Entropy, 2021 Dempster-Shafer (DS) evidence theory is widely used in various fields of uncertain information processing, but it may produce counterintuitive results when dealing with conflicting data.
Yutong Chen, Yongchuan Tang
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Efficient Deep Wavelet Gaussian Markov Dempster–Shafer Network-Based Spectrum Sensing at Very Low SNR in Cognitive Radio Networks [PDF]
SensorsCognitive radio networks (CRNs) rely heavily on spectral sensing to detect primary user (PU) activity, yet detection at low signal-to-noise ratios (SNRs) remains a major challenge.
Sunil Jatti, Anshul Tyagi
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TOXTRUST: a tool leveraging the Dempster-Shafer Theory for robust integration of NAM results in decision-making considering uncertainty [PDF]
NAM JournalIn the search for alternatives to replace in vivo studies, the application of assessment frameworks involving New Approach Methodologies (NAMs) often leads to the simultaneous availability of multiple pieces of evidence of different quality.
Karolina Kopańska +2 more
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Weighted assignment fusion algorithm of evidence conflict based on Euclidean distance and weighting strategy, and application in the wind turbine system. [PDF]
PLoS ONE, 2022 In the process of intelligent system operation fault diagnosis and decision making, the multi-source, heterogeneous, complex, and fuzzy characteristics of information make the conflict, uncertainty, and validity problems appear in the process of ...
Liming Gou +5 more
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Probabilistic Hesitant Fuzzy Evidence Theory and Its Application in Capability Evaluation of a Satellite Communication System [PDF]
EntropyEvaluating the capabilities of a satellite communication system (SCS) is challenging due to its complexity and ambiguity. It is difficult to accurately analyze uncertain situations, making it difficult for experts to determine appropriate evaluation ...
Jiahuan Liu +3 more
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A Novel Conflict Management Method Based on Uncertainty of Evidence and Reinforcement Learning for Multi-Sensor Information Fusion [PDF]
Entropy, 2021 Dempster–Shafer theory (DST), which is widely used in information fusion, can process uncertain information without prior information; however, when the evidence to combine is highly conflicting, it may lead to counter-intuitive results.
Fanghui Huang +3 more
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An evidence-fused neutrosophic framework for uncertainty-aware treatment selection [PDF]
Scientific ReportsThis paper presents an integrated decision-support framework for selection of healthcare treatment based on the use of Neutrosophic Logic, Dempster-Shafer Theory (DST), and Interval-Valued Fuzzy Sets (IVFS) in an extended Technique for Order Preference ...
Mukesh Mann +3 more
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Evidence Theory in Picture Fuzzy Set Environment
Journal of Mathematics, 2021 Picture fuzzy set is the most widely used tool to handle the uncertainty with the account of three membership degrees, namely, positive, negative, and neutral such that their sum is bound up to 1.
Harish Garg +4 more
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Temporal and Causal Relations on Evidence Theory: an Application on Adverse Drug Reactions
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 The use of big data and information fusion in electronichealth records (EHR) allowed the identification of adversedrug reactions(ADR) through the integration of heteroge-neous sources such as clinical notes (CN), medication pre-scriptions, and ...
Luiz Alberto Pereira Afonso Ribeiro +2 more
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