Results 41 to 50 of about 5,670,665 (286)
Forecasting Using Information and Entropy Based on Belief Functions
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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This study examined whether scores on indices related to subclinical delusion formation and thinking style varied as a function of level of self-professed paranormal ability.
Kenneth Graham Drinkwater +3 more
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The normativity of belief [PDF]
This is a survey of recent debates concerning the normativity of belief. We explain what the thesis that belief is normative involves, consider arguments for and against that thesis, and explore its bearing on debates in ...
Whiting, Daniel, McHugh, Conor
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A New Distance Measure of Belief Function in Evidence Theory
How to measure the similarity or distance between the basic probability assignment (BPA) in evidence theory is an open issue. The existing evidence distance function has the shortcoming that the cardinality of each subset is not reasonably considered. To
Cuiping Cheng, Fuyuan Xiao
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Although research has highlighted the importance of home experience and especially of play in early brain development, the value of this factor for executive function (EF) development has not received the attention it deserves. The purpose of the present
Biruk K. Metaferia +2 more
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A Behavioral Interpretation of Belief Functions [PDF]
Shafer's belief functions were introduced in the seventies of the previous century as a mathematical tool in order to model epistemic probability. One of the reasons that they were not picked up by mainstream probability was the lack of a behavioral interpretation. In this paper we provide such a behavioral interpretation, and re-derive Shafer's belief
Kerkvliet, Timber, Meester, Ronald
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Negation of Basic Probability Assignment: Trends of Dissimilarity and Dispersion
In the field of knowledge representation, negation has been introduced so that practical issues can be modelled more effectively. The negation of probability was first formally determined by Zadeh, with its basic properties proposed by Yager.
Dawei Xie, Fuyuan Xiao
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Comparative Uncertainty, Belief Functions and Accepted Beliefs
Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998)
Didier Dubois +2 more
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A Novel Cooperative Hunting Algorithm for Inhomogeneous Multiple Autonomous Underwater Vehicles
Cooperative hunting of multi-autonomous underwater vehicle (AUV) is an important research topic. Current studies concentrate on AUVs with the same speed abilities and mostly do not consider their speed differences.
Mingzhi Chen, Daqi Zhu
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Modeling Sensor Reliability in Fault Diagnosis Based on Evidence Theory
Sensor data fusion plays an important role in fault diagnosis. Dempster–Shafer (D-R) evidence theory is widely used in fault diagnosis, since it is efficient to combine evidence from different sensors.
Kaijuan Yuan +4 more
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