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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Determination of the optimal location for constructing solar photovoltaic farms based on multi-criteria decision system and Dempster-Shafer theory. [PDF]
Sci Rep, 2020 Considering environmental concerns regarding air pollution which is induced by burning fossil fuels to generate electrical power, utilizing solar energy as a green and sustainable energy source is of great interest.
Mokarram M +4 more
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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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IEEE Access, 2021 Multisensor data fusion is extensively used to merge data from heterogeneous sensors in a smart environment. However, sensors provide noisy and uncertain information which is a big challenge for researchers.
Ihsan Ullah, Joosang Youn, Youn-Hee Han
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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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An evidential classifier based on Dempster-Shafer theory and deep learning [PDF]
Neurocomputing, 2021 We propose a new classifier based on Dempster-Shafer (DS) theory and a convolutional neural network (CNN) architecture for set-valued classification. In this classifier, called the evidential deep-learning classifier, convolutional and pooling layers ...
Zheng Tong, Philippe Xu, T. Denoeux
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