国际不确定性的量化期刊
每年出版 6 期
ISSN 打印: 2152-5080
ISSN 在线: 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
卷 8, 2018 册 2
DOI: 10.1615/Int.J.UncertaintyQuantification.v8.i2
INTERVAL-VALUED COMPLEX FUZZY SOFT SET AND ITS APPLICATION
pp. 101-117
DOI: 10.1615/Int.J.UncertaintyQuantification.2018020362
A NOTE ON "NOVEL SINGLE-VALUED NEUTROSOPHIC AGGREGATED OPERATORS UNDER FRANK NORM OPERATION AND ITS APPLICATION TO DECISION-MAKING PROCESS"
pp. 119-121
DOI: 10.1615/Int.J.UncertaintyQuantification.2018024616
A PARTIAL LEAST-SQUARES PATH MODEL FOR MULTIATTRIBUTE DECISION-MAKING UNDER FUZZY ENVIRONMENT
pp. 123-141
DOI: 10.1615/Int.J.UncertaintyQuantification.2018020755
UTILIZING ADJOINT-BASED ERROR ESTIMATES FOR SURROGATE MODELS TO ACCURATELY PREDICT PROBABILITIES OF EVENTS
pp. 143-159
DOI: 10.1615/Int.J.UncertaintyQuantification.2018020911
A NOVEL HYBRID APPROACH FOR SIMPLIFIED NEUTROSOPHIC DECISION-MAKING WITH COMPLETELY UNKNOWN WEIGHT INFORMATION
pp. 161-173
DOI: 10.1615/Int.J.UncertaintyQuantification.2018021164
FAST AND FLEXIBLE UNCERTAINTY QUANTIFICATION THROUGH A DATA-DRIVEN SURROGATE MODEL
pp. 175-192
DOI: 10.1615/Int.J.UncertaintyQuantification.2018021975
最新一期
将发表的论文
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
Application of global sensitivity analysis for identification of probabilistic design spaces
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