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Modelling Up-and-Down Moves of Binomial Option Pricing with Intuitionistic Fuzzy Numbers.
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- Axioms (2075-1680), 2024, v. 13, n. 8, p. 503, doi. 10.3390/axioms13080503
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Précis of Knowledge in an Uncertain World.
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- Philosophy & Phenomenological Research, 2012, v. 85, n. 2, p. 441, doi. 10.1111/j.1933-1592.2012.00625.x
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Bayesian uncertainty quantification framework for wake model calibration and validation with historical wind farm power data.
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- Wind Energy, 2023, v. 26, n. 8, p. 786, doi. 10.1002/we.2841
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Quantifying modeling uncertainties in seismic analysis of dams: Insights from an international benchmark study.
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- Earthquake Engineering & Structural Dynamics, 2024, v. 53, n. 3, p. 1168, doi. 10.1002/eqe.4064
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Considering uncertainty in the collapse fragility of New Zealand buildings for risk‐targeted seismic design.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 13, p. 4205, doi. 10.1002/eqe.3916
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A hybrid non‐parametric ground motion model for shallow crustal earthquakes in Europe.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 8, p. 2303, doi. 10.1002/eqe.3845
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Stochastic ground motion models to NGA‐West2 and NGA‐Sub databases using Bayesian neural network.
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- Earthquake Engineering & Structural Dynamics, 2023, v. 52, n. 1, p. 248, doi. 10.1002/eqe.3759
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Epistemic uncertainty in poorly detailed existing frames accounting for masonry infill variability and RC shear failure.
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- Earthquake Engineering & Structural Dynamics, 2022, v. 51, n. 15, p. 3755, doi. 10.1002/eqe.3748
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Multicomponent directional‐cum‐modal combination rule for seismic analysis: Theory and illustrations.
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- Earthquake Engineering & Structural Dynamics, 2022, v. 51, n. 10, p. 2399, doi. 10.1002/eqe.3669
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A multi‐fidelity Bayesian framework for robust seismic fragility analysis.
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- Earthquake Engineering & Structural Dynamics, 2021, v. 50, n. 15, p. 4199, doi. 10.1002/eqe.3552
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Using model error in response history analysis to evaluate component calibration methods.
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- Earthquake Engineering & Structural Dynamics, 2020, v. 49, n. 2, p. 175, doi. 10.1002/eqe.3234
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Advancing fracture fragility assessment of pre‐Northridge welded column splices.
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- Earthquake Engineering & Structural Dynamics, 2020, v. 49, n. 2, p. 132, doi. 10.1002/eqe.3228
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- Article
A new interpretation on structural reliability updating with adaptive batch sampling-based subset simulation.
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- Structural & Multidisciplinary Optimization, 2024, v. 67, n. 2, p. 1, doi. 10.1007/s00158-023-03720-8
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- Article
A box moments approach for the time-variant hybrid reliability assessment.
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- Structural & Multidisciplinary Optimization, 2021, v. 64, n. 6, p. 4045, doi. 10.1007/s00158-021-03076-x
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Evidence-theory-based structural reliability analysis with epistemic uncertainty: a review.
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- Structural & Multidisciplinary Optimization, 2021, v. 63, n. 6, p. 2935, doi. 10.1007/s00158-021-02863-w
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An effective Kriging-based approximation for structural reliability analysis with random and interval variables.
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- Structural & Multidisciplinary Optimization, 2021, v. 63, n. 5, p. 2473, doi. 10.1007/s00158-020-02825-8
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A model validation framework based on parameter calibration under aleatory and epistemic uncertainty.
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- Structural & Multidisciplinary Optimization, 2021, v. 63, n. 2, p. 645, doi. 10.1007/s00158-020-02715-z
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Time-dependent reliability-based design optimization considering aleatory and epistemic uncertainties.
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- Structural & Multidisciplinary Optimization, 2020, v. 62, n. 5, p. 2297, doi. 10.1007/s00158-020-02691-4
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Construction of probability box model based on maximum entropy principle and corresponding hybrid reliability analysis approach.
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- Structural & Multidisciplinary Optimization, 2020, v. 61, n. 2, p. 599, doi. 10.1007/s00158-019-02382-9
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Determination of sample size for input variables in RBDO through bi-objective confidence-based design optimization under input model uncertainty.
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- Structural & Multidisciplinary Optimization, 2020, v. 61, n. 1, p. 253, doi. 10.1007/s00158-019-02357-w
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Uncertainty-based design optimization approach based on cumulative distribution matching.
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- Structural & Multidisciplinary Optimization, 2019, v. 60, n. 4, p. 1571, doi. 10.1007/s00158-019-02286-8
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Evidence-theory-based reliability design optimization with parametric correlations.
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- Structural & Multidisciplinary Optimization, 2019, v. 60, n. 2, p. 565, doi. 10.1007/s00158-019-02225-7
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Incremental shifting vector and mixed uncertainty analysis method for reliability-based design optimization.
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- Structural & Multidisciplinary Optimization, 2019, v. 59, n. 6, p. 2093, doi. 10.1007/s00158-018-2178-x
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An improved two-stage framework of evidence-based design optimization.
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- Structural & Multidisciplinary Optimization, 2018, v. 58, n. 4, p. 1673, doi. 10.1007/s00158-018-1991-6
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Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review.
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- Structural & Multidisciplinary Optimization, 2018, v. 57, n. 6, p. 2485, doi. 10.1007/s00158-017-1864-4
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A novel evidence theory model dealing with correlated variables and the corresponding structural reliability analysis method.
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- Structural & Multidisciplinary Optimization, 2018, v. 57, n. 4, p. 1749, doi. 10.1007/s00158-017-1843-9
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A new method to identify the source vent location of tephra fall deposits: development, testing, and application to key Quaternary eruptions of Western North America.
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- Bulletin of Volcanology, 2019, v. 81, n. 9, p. N.PAG, doi. 10.1007/s00445-019-1310-0
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Aversion, interpretation and determinability: Three factors of uncertainty that may play a role in psychopathology.
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- Cognitive, Affective & Behavioral Neuroscience, 2023, v. 23, n. 3, p. 838, doi. 10.3758/s13415-023-01068-6
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Regression modeling of subjective probability of river inundation with epistemic uncertainty: a short-term panel data analysis.
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- Natural Hazards, 2024, v. 120, n. 7, p. 6343, doi. 10.1007/s11069-024-06446-y
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A simple site amplification model originating from the NGA project for deep soft soil deposits in Suzhou, China.
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- Natural Hazards, 2024, v. 120, n. 1, p. 107, doi. 10.1007/s11069-023-06178-5
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Updated probabilistic seismic hazard assessment of Pakistan.
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- Natural Hazards, 2023, v. 117, n. 3, p. 2187, doi. 10.1007/s11069-023-05920-3
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Probabilistic seismic hazard analysis in low-seismicity regions: an investigation of sensitivity with a focus on Finland.
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- Natural Hazards, 2023, v. 116, n. 1, p. 111, doi. 10.1007/s11069-022-05666-4
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Epistemic uncertainty in probabilistic estimates of seismic risk resulting from multiple hazard models.
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- Natural Hazards, 2021, v. 108, n. 3, p. 3203, doi. 10.1007/s11069-021-04820-8
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Probabilistic seismic hazard assessment studies for Mumbai region.
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- Natural Hazards, 2021, v. 107, n. 1, p. 575, doi. 10.1007/s11069-021-04596-x
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Exploring the impact of epistemic uncertainty on a regional probabilistic seismic risk assessment model.
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- Natural Hazards, 2020, v. 104, n. 1, p. 997, doi. 10.1007/s11069-020-04201-7
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Evaluation of tropical cyclone recurrence rate: factors contributing to epistemic uncertainty.
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- Natural Hazards, 2020, v. 103, n. 3, p. 3011, doi. 10.1007/s11069-020-04117-2
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Probabilistic seismic hazard assessment for Singapore.
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- Natural Hazards, 2020, v. 103, n. 3, p. 2883, doi. 10.1007/s11069-020-04107-4
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Earthquake scenarios: a practical way to handle alternative solutions to historical earthquakes and to increase the transparency of seismic hazard assessment.
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- Natural Hazards, 2014, v. 72, n. 2, p. 549, doi. 10.1007/s11069-013-1026-y
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Probabilistic seismic hazard analysis for Kakrapar atomic power station, Gujarat, India.
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- Natural Hazards, 2013, v. 69, n. 1, p. 919, doi. 10.1007/s11069-013-0744-5
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The use of the possibility theory to investigate the epistemic uncertainties within scenario-based earthquake risk assessments.
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- Natural Hazards, 2011, v. 56, n. 3, p. 613, doi. 10.1007/s11069-010-9578-6
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- Article
白酒固形物的测量不确定度评定.
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- China Brewing, 2022, v. 41, n. 10, p. 232, doi. 10.11882/j.issn.0254-5071.2022.10.039
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- Article
全自动氨基酸分析仪测定酱油中游离氨基酸的不确定度评定.
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- China Brewing, 2022, v. 41, n. 2, p. 234, doi. 10.11882/j.issn.0254-5071.2022.02.039
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- Article
气相色谱-质谱法测定葡萄酒用软木塞中2,4,6-三氯苯甲醚的不确定度评定.
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- China Brewing, 2020, v. 39, n. 11, p. 163, doi. 10.11882/j.issn.0254-5071.2020.11.031
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Anomaly Detection in Optical Coherence Tomography Angiography (OCTA) with a Vector-Quantized Variational Auto-Encoder (VQ-VAE).
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- Bioengineering (Basel), 2024, v. 11, n. 7, p. 682, doi. 10.3390/bioengineering11070682
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Land pressure evaluation in the Yangtze River Delta region: A perspective from production‐living‐ecology.
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- Land Degradation & Development, 2023, v. 34, n. 17, p. 5312, doi. 10.1002/ldr.4846
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Temperature sensitivity of decomposition of soil organic matter fractions increases with their turnover time.
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- Land Degradation & Development, 2020, v. 31, n. 5, p. 632, doi. 10.1002/ldr.3477
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Epistemic Uncertainty, Social Dominance Orientation, and Prejudices toward Women in Leadership Roles: Mediation and Moderation Analyses.
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- Social Sciences (2076-0760), 2024, v. 13, n. 1, p. 54, doi. 10.3390/socsci13010054
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Dynamic Performance Assessment of Hospitals by Applying Credibility-Based Fuzzy Window Data Envelopment Analysis.
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- Healthcare (2227-9032), 2022, v. 10, n. 5, p. 876, doi. 10.3390/healthcare10050876
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Bayesian Uncertainty Identification of Model Parameters for the Jointed Structures with Nonlinearity.
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- Shock & Vibration, 2021, p. 1, doi. 10.1155/2021/2638995
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Comparing uncertainty data in epistemic and ontic sense used to decision making problem.
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- Iranian Journal of Fuzzy Systems, 2019, v. 16, n. 2, p. 45
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