Results 21 to 30 of about 1,058,148 (324)
Cybernetics and Information Technologies, 2015 The main purpose of this paper is to apply and to test the performance of a new method, based on belief functions, proposed by Dezert et al. in order to evaluate the quality of the individual association pairings provided in the optimal data association ...
Dezert J., Tchamova A., Konstantinova P.
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IEEE Access, 2020 The deep belief network is widely used in fault diagnosis and health management of rotating machinery. However, on the one hand, deep belief networks only tend to focus on the global information of bearing vibration, ignoring local information.
Chao Zhang +5 more
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A correlation coefficient for belief functions [PDF]
International Journal of Approximate Reasoning, 2018 19 pages, 1 ...
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Forecasting Using Information and Entropy Based on Belief Functions
Complexity, 2020 This paper introduces an entropy-based belief function to the forecasting problem. While the likelihood-based belief function needs to know the distribution of the objective function for the prediction, the entropy-based belief function does not. This is
Woraphon Yamaka, Songsak Sriboonchitta
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Decision-Making with Belief Functions: a Review [PDF]
, 2019 Approaches to decision-making under uncertainty in the belief function framework are reviewed. Most methods are shown to blend criteria for decision under ignorance with the maximum expected utility principle of Bayesian decision theory. A distinction is
Denoeux, Thierry
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Belief functions and belief maintenance in artificial intelligence
International Journal of Approximate Reasoning, 1990 The idea for this special issue first arose at the Fourth Workshop on Uncertainty in Artificial Intelligence (AI) held at Minneapolis, Minnesota, in July 1988. Jim Bezdek, the editor-in-chief of this journal, asked us if we were willing to act as guest editors.
Prakash P. Shenoy, Gautam Biswas
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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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Belief and Surprise - A Belief-Function Formulation [PDF]
, 1991 We motivate and describe a theory of belief in this paper. This theory is developed with the following view of human belief in mind. Consider the belief that an event E will occur (or has occurred or is occurring). An agent either entertains this belief or does not entertain this belief (i.e., there is no "grade" in entertaining the belief).
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Entropy, 2022 As well-known machine learning methods, decision trees are widely applied in classification and recognition areas. In this paper, with the uncertainty of labels handled by belief functions, a new decision tree method based on belief entropy is proposed ...
Kangkai Gao, Yong Wang, Liyao Ma
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Belief Approach for Social Networks [PDF]
, 2014 Nowadays, social networks became essential in information exchange between individuals. Indeed, as users of these networks, we can send messages to other people according to the links connecting us. Moreover, given the large volume of exchanged messages,
Dhaou, Salma Ben +3 more
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