Decision-theoretic reliability sensitivity

被引：16
|
作者：
Straub, Daniel [1 ]
Ehre, Max [1 ]
Papaioannou, Iason [1 ]
机构：
[1] Tech Univ Munich, Engn Risk Anal Grp, Munich, Germany
来源：
RELIABILITY ENGINEERING & SYSTEM SAFETY | 2022年 / 221卷
关键词：
Sensitivity analysis; Value of information; Reliability; INDEPENDENT IMPORTANCE MEASURE; PARTIAL EXPECTED VALUE; UNCERTAINTY IMPORTANCE; PERFECT INFORMATION; ANALYSIS SAMPLE; PROBABILITY;
D O I：
10.1016/j.ress.2021.108215
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
We propose and discuss sensitivity metrics for reliability analysis, which are based on the value of information. These metrics are easier to interpret than other existing sensitivity metrics in the context of a specific decision and they are applicable to any type of reliability assessment, including those with dependent inputs. We develop computational strategies that enable efficient evaluation of these metrics, in some scenarios without additional runs of the deterministic model. The metrics are investigated by application to numerical examples.
引用
收藏
页数：13
相关论文
共 50 条
  • [41] Decision-theoretic rough sets and beyond
    Yao, JingTao
    Li, Huaxiong
    Peters, Georg
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2014, 55 (01) : 99 - 100
  • [42] A FRAMEWORK FOR EXPLAINING DECISION-THEORETIC ADVICE
    KLEIN, DA
    SHORTLIFFE, EH
    ARTIFICIAL INTELLIGENCE, 1994, 67 (02) : 201 - 243
  • [43] Decision-theoretic limits on earthquake prediction
    Matthews, RAJ
    GEOPHYSICAL JOURNAL INTERNATIONAL, 1997, 131 (03) : 526 - 529
  • [44] Decision-theoretic relativity in deontic modality
    Nate Charlow
    Linguistics and Philosophy, 2018, 41 : 251 - 287
  • [45] The Decision-Theoretic Interactive Video Advisor
    Nguyen, H
    Haddawy, P
    UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 1999, : 494 - 501
  • [46] DECISION-THEORETIC MEASURES OF INFLUENCE IN REGRESSION
    KEMPTHORNE, PJ
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1986, 48 (03): : 370 - 378
  • [47] Decision-theoretic foundations for statistical causality
    Dawid, Philip
    JOURNAL OF CAUSAL INFERENCE, 2021, 9 (01) : 39 - 77
  • [48] Decidable Verification of Decision-Theoretic GOLOG
    Classen, Jens
    Zarriess, Benjamin
    FRONTIERS OF COMBINING SYSTEMS (FROCOS 2017), 2017, 10483 : 227 - 243
  • [49] The propensity theory: a decision-theoretic restatement
    M. Albert
    Synthese, 2007, 156 : 587 - 603
  • [50] The decision-theoretic foundations of game theory
    Mariotti, M
    RATIONAL FOUNDATIONS OF ECONOMIC BEHAVIOUR, 1996, : 133 - 148
12345