Interval optimization based line sampling method for fuzzy and random reliability analysis

DOI10.1016/j.apm.2013.11.027zbMath1427.90109OpenAlexW2074135656MaRDI QIDQ1630780

Luyi Li, Zhen-Zhou Lü

Publication date: 10 December 2018

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2013.11.027

zbMATH Keywords

membership functionfuzzy reliabilityrandom variablefuzzy variableinterval optimizationline sampling

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25)

Related Items (10)

Study of cut-set distributions in the fuzzy reliability evaluation models ⋮ Reliability-Based Design Optimization for Design Problems with Random Fuzzy and Interval Uncertainties ⋮ Equilibrium reliability measure for structural design under twofold uncertainty ⋮ A novel mixed uncertainty support vector machine method for structural reliability analysis ⋮ Augmented line sampling for approximation of failure probability function in reliability-based analysis ⋮ Novel reliability-based optimization method for thermal structure with hybrid random, interval and fuzzy parameters ⋮ An adaptive metamodel-based subset importance sampling approach for the assessment of the functional failure probability of a thermal-hydraulic passive system ⋮ Coupled fuzzy-interval model and method for structural response analysis with non-probabilistic hybrid uncertainties ⋮ A credibilistic failure indicator for modeling structural reliability design optimization ⋮ Structural Reliability Analysis with Inverse Credibility Distributions

Cites Work

• Importance measure system of fuzzy and random input variables and its solution by point estimates
• A generalized Borgonovo's importance measure for fuzzy input uncertainty
• Fuzzy weighted averages and implementation of the extension principle
• Confidence bounds on component reliability in the presence of mixed uncertain variables
• Convergence theorems for a class of simulated annealing algorithms on ℝ^d
• The Theory and Practice of Simulated Annealing
• Equation of State Calculations by Fast Computing Machines

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