Results 41 to 50 of about 4,054,819 (172)
The Blind Passenger and the Assignment Problem [PDF]
, 2011 We introduce a discrete random process which we call the passenger model, and show that it is connected to a certain random model of the assignment problem and in particular to the so-called Buck–Chan–Robbins urn process.
Wästlund, Johan, +2 more
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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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Journal of Telecommunications and Information Technology, 2003 In this paper we present a new probability function G that generalizes the classical probability function. A mass function is an assignment of basic probability to some context (events, propositions).
Hui Wang
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IEEE Access, 2019 Dempster-Shafer evidence theory is efficient to deal with uncertain information. However, the traditional basic probability assignment (BPA) only considers the support degree of the focal elements.
Yangxue Li, Yong Deng
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Bayesian Update with Information Quality under the Framework of Evidence Theory
Entropy, 2018 Bayesian update is widely used in data fusion. However, the information quality is not taken into consideration in classical Bayesian update method. In this paper, a new Bayesian update with information quality under the framework of evidence theory is ...
Yuting Li, Fuyuan Xiao
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IEEE Access, 2021 As a common geological hazard in underground engineering, rockburst has many uncertain factors and interactions, and is of a complicated mechanism. Based on the information fusion theory, a methodology using a novel connection cloud model, which can ...
Guangyao Chen +3 more
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Journal of Mathematics, 2020 Uncertainty in data fusion applications has received great attention. Due to the effectiveness and flexibility in handling uncertainty, Dempster–Shafer evidence theory is widely used in numerous fields of data fusion.
Yong Chen, Yongchuan Tang, Yan Lei
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Distributed Deep Transfer Learning by Basic Probability Assignment
CoRR, 2017 Transfer learning is a popular practice in deep neural networks, but fine-tuning of large number of parameters is a hard task due to the complex wiring of neurons between splitting layers and imbalance distributions of data in pretrained and transferred domains.
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Methods to obtain basic Probability Assignment in Evidence Theory
International Journal of Computer Applications, 2012 Dempster-Shafer Theory (DST) of Evidence is a powerful and flexible mathematical tool for handling uncertainty, impreciseness, and incomplete information. It can be used when both epistemic and aleatory uncertainties are present in the problem under consideration. The fundamental and important object of this theory of evidence is the primitive function
Palash Dutta, Tazid Ali
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ComputationThe paper proposes a method for circuit breaker state judgment based on ant colony algorithm-optimized Dempster-Shafer evidence theory.It can improve the accuracy and robustness of state judgment.
Qian Zhang +6 more
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