Identifying Influential Nodes Based on Evidence Theory in Complex Network
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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Navigation risk assessment scheme based on fuzzy Dempster–Shafer evidence theory
International Journal of Advanced Robotic Systems, 2018 In order to reduce the influence of subjective factors on navigation risk assessment, we present a novel scheme based on the fuzzy Dempster–Shafer evidence theory in this article.
Bo Li
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A new model for threat assessment in data fusion based on fuzzy evidence theory
IJAIN (International Journal of Advances in Intelligent Informatics), 2016 In this paper a new method for threat assessment is proposed based on Fuzzy Evidence Theory. The most widely classical and intelligent methods used for threat assessment systems will be Evidence or Dempster Shafer and Fuzzy Sets Theories.
Ehsan Azimirad, Javad Haddadnia
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Comprehensive model development based on Dempster-Shafer evidence theory for pollution source analysis in chemical parks. [PDF]
Heliyon, 2023 Bai X, Yang Y, Tian X, Wen P, Ma Z.
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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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Fuzzy Information and Engineering, 2015 Dempster–Shafer theory of evidence is one of the important tools for decision making under uncertainty. It is more useful in situations when cost of technical difficulties is involved or uniqueness of the situation under study makes it difficult ...
Palash Dutta
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A classifier-combined method for grading breast cancer based on Dempster-Shafer evidence theory. [PDF]
Quant Imaging Med Surg, 2023 Liu Z +16 more
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Uncertainty in Ontologies: Dempster-Shafer Theory for Data Fusion Applications
, 2010 Nowadays ontologies present a growing interest in Data Fusion applications. As a matter of fact, the ontologies are seen as a semantic tool for describing and reasoning about sensor data, objects, relations and general domain theories.
Bellenger, Amandine, Gatepaille, Sylvain
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On The Validity Of Dempster-Shafer Theory
, 2012 We challenge the validity of Dempster-Shafer Theory by using an emblematic example to show that DS rule produces counter-intuitive result. Further analysis reveals that the result comes from a understanding of evidence pooling which goes against the common expectation of this process.
Dezert, Jean +2 more
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Multisensor Data Fusion in IoT Environments in Dempster-Shafer Theory Setting: An Improved Evidence Distance-Based Approach. [PDF]
Sensors (Basel), 2023 Hamda NEI, Hadjali A, Lagha M.
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