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Computation with imprecise probabilities [PDF]
2008 IEEE International Conference on Information Reuse and Integration, 2008 Computation with imprecise probabilities is not an academic exercise—it is a bridge to reality. In the real world, imprecision of probabilities is the norm rather than exception. In large measure, real-world probabilities are perceptions of likelihood. Perceptions are intrinsically imprecise.
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Chemical Engineering Transactions, 2013 Crack propagation in metallic mechanical components subject to cyclic loading may lead to loss of serviceability or even collapse. Often, these undesirable events may be prevented by performing appropriate maintenance activities.
E. Patelli +2 more
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Fixed Point Results in Orthogonal Neutrosophic Metric Spaces
Complexity, 2021 Neutrosophy deals with neutrosophic logic, probability, and sets. Actually, the neutrosophic set is a generalization of the classical set, fuzzy set, and intuitionistic fuzzy set.
Umar Ishtiaq +5 more
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IEEE Access, 2022 Dynamic target threat assessment can be regarded as a classical multiple attribute group decision-making (MAGDM) issue. Triangular fuzzy numbers (TFNs) can fully describe imprecise and fuzzy information for target threat assessment. Thus, to consider the
Ruojing Zhao, Fengbao Yang, Linna Ji
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Generalized basic probability assignments [PDF]
, 2002 Dempster-Shafer theory allows to construct belief functions from (precise) basic probability assignments. The present paper extends this idea substantially.
Augustin, Thomas
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Quantum Mechanics and Imprecise Probability [PDF]
Journal of Statistical Physics, 2008 An extension of the Born rule, the {\it quantum typicality rule}, has recently been proposed [B. Galvan: Found. Phys. 37, 1540-1562 (2007)]. Roughly speaking, this rule states that if the wave function of a particle is split into non-overlapping wave packets, the particle stays approximately inside the support of one of the wave packets, without ...
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Depth-Aware Object Tracking With a Conditional Variational Autoencoder
IEEE Access, 2021 Object tracking is a fundamental task in computer vision and artificial intelligence. However, state-of-the-art object tracking approaches are still prone to failures and are imprecise when applied to challenging scenarios, and their results are ...
Wenhui Huang, Jason Gu, Yinchen Guo
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Fuzzy Portfolio Selection in COVID-19 Spreading Period Using Fuzzy Goal Programming Model
Mathematics, 2021 While the international lockdown for the COVID-19 pandemic has greatly influenced the global economy, we are still confronted with the dilemma about the economy recession when the stock market hits record highs repeatedly.
Ruey-Chyn Tsaur +2 more
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Transitive Reasoning with Imprecise Probabilities [PDF]
, 2015 We study probabilistically informative (weak) versions of transitivity, by using suitable definitions of defaults and negated defaults, in the setting of coherence and imprecise probabilities. We represent p-consistent sequences of defaults and/or negated defaults by g-coherent imprecise probability assessments on the respective sequences of ...
Gilio, A +2 more
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Imprecise Uncertain Reasoning: A Distributional Approach
Frontiers in Psychology, 2018 The contribution proposes to model imprecise and uncertain reasoning by a mental probability logic that is based on probability distributions. It shows how distributions are combined with logical operators and how distributions propagate in inference ...
Gernot D. Kleiter
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