Results 11 to 20 of about 1,414,385 (278)
Mathematics, 2020 The Dempster–Shafer evidence theory has been widely applied in the field of information fusion. However, when the collected evidence data are highly conflicting, the Dempster combination rule (DCR) fails to produce intuitive results most of the time.
Dingyi Gan, Bin Yang, Yongchuan Tang
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Credal Transfer Learning With Multi-Estimation for Missing Data
IEEE Access, 2020 Transfer learning (TL) has grown popular in recent years. It is effective to improve the classification accuracy in the target domain by using the training knowledge in the related domain (called source domain).
Zongfang Ma +4 more
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Probability functions, belief functions and infinite regresses [PDF]
Synthese, 2020 AbstractIn a recent paper Ronald Meester and Timber Kerkvliet argue by example that infinite epistemic regresses have different solutions depending on whether they are analyzed with probability functions or with belief functions. Meester and Kerkvliet give two examples, each of which aims to show that an analysis based on belief functions yields a ...
David Atkinson, Jeanne Peijnenburg
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Depth-bounded Belief functions
International Journal of Approximate Reasoning, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
P. Baldi, H. Hosni
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Pignistic Belief Transform: A New Method of Conflict Measurement
IEEE Access, 2020 To measure conflict between two basic probability assignment functions plays the key role of conflict management in Dempster-shafer evidence theory. In this paper, a new conflict measure is proposed.
Qixuan Cai, Xiaozhuan Gao, Yong Deng
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A Reliability-Based Multisensor Data Fusion with Application in Target Classification
Sensors, 2020 The theory of belief functions has been extensively utilized in many practical applications involving decision making. One such application is the classification of target based on the pieces of information extracted from the individual attributes ...
Gabriel Awogbami, Abdollah Homaifar
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A New Evaluation Methodology for Quality Goals Extended by D Number Theory and FAHP
Information, 2020 Evaluation of quality goals is an important issue in process management, which essentially is a multi-attribute decision-making (MADM) problem. The process of assessment inevitably involves uncertain information. The two crucial points in an MADM problem
Hongming Mo
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Belief Hierarchical Clustering [PDF]
, 2014 In the data mining field many clustering methods have been proposed, yet standard versions do not take into account uncertain databases. This paper deals with a new approach to cluster uncertain data by using a hierarchical clustering defined within the ...
J. Schubert +6 more
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The Negation of Basic Probability Assignment
IEEE Access, 2019 In many cases, we obtain information using various methods in order to make better decisions. The everything in nature and society has its negative, the negation of negation has significant meaning.
Xiaozhuan Gao, Yong Deng
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A Method of Detections’ Fusion for GNSS Anti-Spoofing
Sensors, 2016 The spoofing attack is one of the security threats of systems depending on the Global Navigation Satellite System (GNSS). There have been many GNSS spoofing detection methods, and each of them focuses on a characteristic of the GNSS signal or a ...
Huiqi Tao, Hong Li, Mingquan Lu
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