International Journal for Uncertainty Quantification
Выходит 6 номеров в год
ISSN Печать: 2152-5080
ISSN Онлайн: 2152-5099
IF:
1.7
5-Year IF:
1.9
Immediacy Index:
0.5
Eigenfactor:
0.0007
JCI:
0.5
SJR:
0.584
SNIP:
0.676
CiteScore™::
3
H-Index:
25
Indexed in
Том 7, 2017 Выпуск 2
DOI: 10.1615/Int.J.UncertaintyQuantification.v7.i2
CALIBRATION AND RANKING OF COARSE-GRAINED MODELS IN MOLECULAR SIMULATIONS USING BAYESIAN FORMALISM
pp. 99-115
DOI: 10.1615/Int.J.UncertaintyQuantification.2017013407
DISTANCE AND SIMILARITY MEASURES FOR INTUITIONISTIC MULTIPLICATIVE PREFERENCE RELATION AND ITS APPLICATIONS
pp. 117-133
DOI: 10.1615/Int.J.UncertaintyQuantification.2017018981
LINGUISTIC NEUTROSOPHIC SETS AND THEIR APPLICATION IN MULTICRITERIA DECISION-MAKING PROBLEMS
pp. 135-154
DOI: 10.1615/Int.J.UncertaintyQuantification.2017019627
CROSS-ENTROPY MEASURES OF MULTIVALUED NEUTROSOPHIC SETS AND ITS APPLICATION IN SELECTING MIDDLE-LEVEL MANAGER
pp. 155-176
DOI: 10.1615/Int.J.UncertaintyQuantification.2017019440
ALGORITHM FOR PICTURE FUZZY MULTIPLE ATTRIBUTE DECISION-MAKING BASED ON NEW DISTANCE MEASURE
pp. 177-187
DOI: 10.1615/Int.J.UncertaintyQuantification.2017020096
Последний выпуск
MODEL ERROR ESTIMATION USING PEARSON SYSTEM WITH APPLICATION TO NONLINEAR WAVES IN COMPRESSIBLE FLOWS
DECISION THEORETIC BOOTSTRAPPING
UNCERTAINTY QUANTIFICATION AND GLOBAL SENSITIVITY ANALYSIS OF SEISMIC FRAGILITY CURVES USING KRIGING
STOCHASTIC GALERKIN METHOD AND PORT-HAMILTONIAN FORM FOR LINEAR FIRST-ORDER ORDINARY DIFFERENTIAL EQUATIONS
Статьи, принятые к публикации
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
Application of global sensitivity analysis for identification of probabilistic design spaces
SENSITIVITY ANALYSES OF A MULTI-PHYSICS LONG-TERM CLOGGING MODEL FOR STEAM GENERATORS
Stochastic Galerkin method and port-Hamiltonian form for linear first-order ordinary differential equations
Analysis of the Challenges in Developing Sample-Based Multi-fidelity Estimators for Non-deterministic Models