Fuzzy importance sampling method for estimating failure possibility

DOI10.1016/j.fss.2020.12.003zbMath1522.62093OpenAlexW3113158781MaRDI QIDQ6081364

Unnamed Author, Chunyan Ling, Zhen-Zhou Lü, Kaixuan Feng

Publication date: 26 October 2023

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2020.12.003

zbMATH Keywords

Markov chainadaptive kernel sampling densityfailure possibilityoptimal importance sampling densityfuzzy importance sampling

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Reliability and life testing (62N05)

Cites Work

• Unnamed Item
• Fuzzy sets based interpretation of the safety factor
• Default reasoning and possibility theory
• Chance constrained programming with fuzzy parameters
• On bandwidth variation in kernel estimates. A square root law
• Fuzzy structural analysis using \(\alpha\)-level optimization
• An overview of membership function generation techniques for pattern recognition
• A novel dual-stage adaptive kriging method for profust reliability analysis
• A new possibilistic reliability index definition
• Remarks on Some Nonparametric Estimates of a Density Function
• Large Sample Properties of Simulations Using Latin Hypercube Sampling
• Variable Kernel Estimates of Multivariate Densities
• Fuzzy finite element approach for analysis of imprecisely defined systems
• Equation of State Calculations by Fast Computing Machines
• Fuzzy sets
• Uncertainty theory

This page was built for publication: Fuzzy importance sampling method for estimating failure possibility