Global Sensitivity Analysis of Fuzzy Distribution Parameter on Failure Probability and Its Single-Loop Estimation

An extending Borgonovo’s global sensitivity analysis is proposed to measure the influence of fuzzy distribution parameters on fuzzy failure probability by averaging the shift between the membership functions (MFs) of unconditional and conditional failure probability. The presented global sensitivity...

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Main Authors: Lei Cheng, Zhenzhou Lu, Luyi Li
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/490718
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author Lei Cheng
Zhenzhou Lu
Luyi Li
author_facet Lei Cheng
Zhenzhou Lu
Luyi Li
author_sort Lei Cheng
collection DOAJ
description An extending Borgonovo’s global sensitivity analysis is proposed to measure the influence of fuzzy distribution parameters on fuzzy failure probability by averaging the shift between the membership functions (MFs) of unconditional and conditional failure probability. The presented global sensitivity indices can reasonably reflect the influence of fuzzy-valued distribution parameters on the character of the failure probability, whereas solving the MFs of unconditional and conditional failure probability is time-consuming due to the involved multiple-loop sampling and optimization operators. To overcome the large computational cost, a single-loop simulation (SLS) is introduced to estimate the global sensitivity indices. By establishing a sampling probability density, only a set of samples of input variables are essential to evaluate the MFs of unconditional and conditional failure probability in the presented SLS method. Significance of the global sensitivity indices can be verified and demonstrated through several numerical and engineering examples.
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series Journal of Applied Mathematics
spelling doaj-art-60158b149fb44ff3a66088cc9462ebab2025-02-03T01:31:04ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/490718490718Global Sensitivity Analysis of Fuzzy Distribution Parameter on Failure Probability and Its Single-Loop EstimationLei Cheng0Zhenzhou Lu1Luyi Li2School of Aeronautics, Northwestern Polytechnical University, P.O. Box 120, Xi’an, Shaanxi 710072, ChinaSchool of Aeronautics, Northwestern Polytechnical University, P.O. Box 120, Xi’an, Shaanxi 710072, ChinaSchool of Aeronautics, Northwestern Polytechnical University, P.O. Box 120, Xi’an, Shaanxi 710072, ChinaAn extending Borgonovo’s global sensitivity analysis is proposed to measure the influence of fuzzy distribution parameters on fuzzy failure probability by averaging the shift between the membership functions (MFs) of unconditional and conditional failure probability. The presented global sensitivity indices can reasonably reflect the influence of fuzzy-valued distribution parameters on the character of the failure probability, whereas solving the MFs of unconditional and conditional failure probability is time-consuming due to the involved multiple-loop sampling and optimization operators. To overcome the large computational cost, a single-loop simulation (SLS) is introduced to estimate the global sensitivity indices. By establishing a sampling probability density, only a set of samples of input variables are essential to evaluate the MFs of unconditional and conditional failure probability in the presented SLS method. Significance of the global sensitivity indices can be verified and demonstrated through several numerical and engineering examples.http://dx.doi.org/10.1155/2014/490718
spellingShingle Lei Cheng
Zhenzhou Lu
Luyi Li
Global Sensitivity Analysis of Fuzzy Distribution Parameter on Failure Probability and Its Single-Loop Estimation
Journal of Applied Mathematics
title Global Sensitivity Analysis of Fuzzy Distribution Parameter on Failure Probability and Its Single-Loop Estimation
title_full Global Sensitivity Analysis of Fuzzy Distribution Parameter on Failure Probability and Its Single-Loop Estimation
title_fullStr Global Sensitivity Analysis of Fuzzy Distribution Parameter on Failure Probability and Its Single-Loop Estimation
title_full_unstemmed Global Sensitivity Analysis of Fuzzy Distribution Parameter on Failure Probability and Its Single-Loop Estimation
title_short Global Sensitivity Analysis of Fuzzy Distribution Parameter on Failure Probability and Its Single-Loop Estimation
title_sort global sensitivity analysis of fuzzy distribution parameter on failure probability and its single loop estimation
url http://dx.doi.org/10.1155/2014/490718
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AT luyili globalsensitivityanalysisoffuzzydistributionparameteronfailureprobabilityanditssingleloopestimation