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Depth-bounded Belief functions
International Journal of Approximate Reasoning, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paolo Baldi, Hykel Hosni
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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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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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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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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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Comparative Uncertainty, Belief Functions and Accepted Beliefs
CoRR, 2013 Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998)
Didier Dubois +2 more
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An evaluation for sustainable mobility extended by D numbers
Technological and Economic Development of Economy, 2019 How to evaluate the impact of transport measures on city sustainability effectively is still an open issue, and it can be abstracted as one of the multiple criteria decision making problems.
Hongming Mo, Yong Deng
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Frontiers in Psychology, 2022 This study examined variations in well-being as a function of the interaction between paranormal belief and psychopathology-related constructs. A United Kingdom-based, general sample of 4,402 respondents completed self-report measures assessing ...
Neil Dagnall +2 more
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Information, 2019 Relative reduction of multiple neighborhood-covering with multigranulation rough set has been one of the hot research topics in knowledge reduction theory.
Xiaoying You, Jinjin Li, Hongkun Wang
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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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