Results 1 to 10 of about 14,479 (198)
Bearing Fault Diagnosis Based on a Hybrid Classifier Ensemble Approach and the Improved Dempster-Shafer Theory [PDF]
Sensors, 2019 Bearing fault diagnosis of a rotating machine plays an important role in reliable operation. A novel intelligent fault diagnosis method for roller bearings has been developed based on a proposed hybrid classifier ensemble approach and the improved ...
Yanxue Wang, Fang Liu, Aihua Zhu
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Place Classification using Dempster-Shafer Theory [PDF]
Foundations of Computing and Decision Sciences, 2017 The paper presents a novel place labeling method. It is assumed that an indoor mobile robot equipped with a camera or RGB-D sensor ambulates an indoor environment. The places visited by the robot are classified based on objects which have been recognized.
Siemiątkowska Barbara +1 more
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Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion [PDF]
Sensors, 2019 Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster−Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Md Nazmuzzaman Khan, Sohel Anwar
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Dempster-Shafer Theory: Ηow Constraint Programming Can Help [PDF]
Information Processing and Management of Uncertainty in Knowledge-Based Systems18th International Conference, 2020 Dealing with uncertainty has always been a challenging topic in the area of knowledge representation. Nowadays, as the internet provides a vast platform for knowledge exploitation, the need becomes even more imminent. The kind of uncertainty encountered in most of these cases as well as its distributed nature make Dempster-Shafer (D-S) Theory to be an ...
Kaltsounidis A, Karali I.
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Class-weighted Dempster–Shafer in dual-level fusion for multimodal fake real estate listings detection [PDF]
PeerJ Computer ScienceBackground Detecting fake multimodal property listings is a significant challenge in online real estate platforms due to the increasing sophistication of fraudulent activities.
Maifuza Mohd Amin +2 more
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Interpretable Clustering Using Dempster-Shafer Theory [PDF]
Journal of Universal Computer ScienceThis 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
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Identifying Influential Nodes Based on Evidence Theory in Complex Network [PDF]
EntropyInfluential node identification is an important and hot topic in the field of complex network science. Classical algorithms for identifying influential nodes are typically based on a single attribute of nodes or the simple fusion of a few attributes ...
Fu Tan +5 more
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IEEE Access, 2021 Since the Dempster-Shafer evidence theory was developed, it has been extensively concerned by researchers. Compared with Bayesian probability theory, Dempster-Shafer evidence theory satisfies weaker constraints and has the advantage to indicate ...
Zichong Chen, Xianwen Luo
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A Networked Method for Multi-Evidence-Based Information Fusion
Entropy, 2022 Dempster–Shafer evidence theory is an effective way to solve multi-sensor data fusion problems. After developing many improved combination rules, Dempster–Shafer evidence theory can also yield excellent results when fusing highly conflicting evidence ...
Qian Liang, Zhongxin Liu, Zengqiang Chen
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A Novel Integration Method for D Numbers Based on Horizontal Comparison
Axioms, 2021 D numbers theory is an extension of Dempster–Shafer evidence theory. It eliminates the constraints of mutual exclusion and completeness under the frame of discernment of Dempster–Shafer evidence theory, so it has been widely used to deal with uncertainty
Haiyang Hou, Chunyu Zhao
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