Decision-theoretic reliability sensitivity

04/02/2021
by   Daniel Straub, et al.
0

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.

READ FULL TEXT

page 9

page 21

06/05/2022

An information upper bound for probability sensitivity

Uncertain input of a mathematical model induces uncertainties in the out...
05/30/2021

REAM♯: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation

The lack of reliable automatic evaluation metrics is a major impediment ...
06/20/2022

Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics

The class-imbalance issue is intrinsic to many real-world machine learni...
11/21/2020

Quality and Reliability Metrics for IoT Systems: A Consolidated View

Quality and reliability metrics play an important role in the evaluation...
03/24/2012

Reliability updating with equality information

In many instances, information on engineering systems can be obtained th...
06/27/2022

Discrepancy measures for sensitivity analysis in mathematical modeling

While Sensitivity Analysis (SA) improves the transparency and reliabilit...
01/20/2021

Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs

Reliability-oriented sensitivity analysis methods have been developed fo...