A Novel Method to Determine Basic Probability Assignment Based on Adaboost and Its Application in Classification [PDF]
Entropy, 2021 In the framework of evidence theory, one of the open and crucial issues is how to determine the basic probability assignment (BPA), which is directly related to whether the decision result is correct.
Wei Fu, Shuang Yu, Xin Wang
doaj +2 more sources
A new basic probability assignment generation and combination method for conflict data fusion in the evidence theory [PDF]
Scientific Reports, 2023 Dempster–Shafer evidence theory is an effective method to deal with information fusion. However, how to deal with the fusion paradoxes while using the Dempster’s combination rule is still an open issue.
Yongchuan Tang +5 more
doaj +2 more sources
Conflict Data Fusion in a Multi-Agent System Premised on the Base Basic Probability Assignment and Evidence Distance [PDF]
Entropy, 2021 The multi-agent information fusion (MAIF) system can alleviate the limitations of a single expert system in dealing with complex situations, as it allows multiple agents to cooperate in order to solve problems in complex environments.
Jingyu Liu, Yongchuan Tang
doaj +2 more sources
Fusion of expert uncertain assessment in FMEA based on the negation of basic probability assignment and evidence distance [PDF]
Scientific Reports, 2022 Failure mode and effects analysis (FMEA) has been widely used for potential risk modeling and management. Expert evaluation is used to model the risk priority number to determine the risk level of different failure modes.
Yusong Yuan, Yongchuan Tang
doaj +2 more sources
Multi-Source Information Fusion Based on Negation of Reconstructed Basic Probability Assignment with Padded Gaussian Distribution and Belief Entropy [PDF]
Entropy, 2022 Multi-source information fusion is widely used because of its similarity to practical engineering situations. With the development of science and technology, the sources of information collected under engineering projects and scientific research are more
Yujie Chen +3 more
doaj +2 more sources
A New Belief Entropy in Dempster–Shafer Theory Based on Basic Probability Assignment and the Frame of Discernment [PDF]
Entropy, 2020 Dempster–Shafer theory has been widely used in many applications, especially in the measurement of information uncertainty. However, under the D-S theory, how to use the belief entropy to measure the uncertainty is still an open issue.
Jiapeng Li, Qian Pan
doaj +2 more sources
ODE-BPA: A Novel Basic Probability Assignment Generation Method Based on OTSU and Deng Entropy [PDF]
EntropyConstructing basic probability assignments (BPAs) objectively and adaptively remains an important issue in Dempster–Shafer theory. To reduce the uncertainty caused by rigid nested focal element structures, this paper proposes ODE-BPA, a BPA generation ...
Xinghua Zhou +3 more
doaj +2 more sources
International Journal of Distributed Sensor Networks, 2019 Due to its efficiency to handle uncertain information, Dempster–Shafer evidence theory has become the most important tool in many information fusion systems.
Bowen Qin, Fuyuan Xiao
doaj +2 more sources
An improved method to determine basic probability assignment based on fuzzy mathematics [PDF]
MATEC Web of Conferences, 2022 In D-S evidence theory, the determination of the basic probability assignment function (BPA) is the first and important step. However, the generation of BPA is still a problem to be solved.
Xiong Leihui, Su Xiaoyan
doaj +1 more source
Logarithmic Negation of Basic Probability Assignment and Its Application in Target Recognition
Information, 2022 The negation of probability distribution is a new perspective from which to obtain information. Dempster–Shafer (D–S) evidence theory, as an extension of possibility theory, is widely used in decision-making-level fusion.
Shijun Xu +4 more
doaj +1 more source