Titlebook: Advances in Reliability, Failure and Risk Analysis; Harish Garg Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive

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Advances in Reliability, Failure and Risk Analysis

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2364-6837 ysis.Focuses on cutting-edge theories and applications in va.This book collects select chapters on modern industrial problems related to uncertainties and vagueness in the expert domain of knowledge. The book further provides the knowledge related to application of various mathematical and statistic

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,Smart Failure Mode and Effects Analysis (FMEA) for Safety–Critical Systems in the Context of Industertainty quantification and machine learning techniques, MCDM methods, and other complementary failure analysis approaches. Finally, it discusses about smart-FMEA platform in modern industries and its improvements in the context of Industry 4.0.

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Optimization of Redundancy Allocation Problem Using Quantum Particle Swarm Optimization Algorithm Uy the position of the particles and the fitness value of each particle is evaluated using the reliability function related to this work. All the coding of QPSO algorithm is done in C++. Finally, a numerical example is solved to clarify the sensitivity of the proposed algorithm with respect to the crisp as well as the fuzzy atmospheres.

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Adam Wyner,Trevor Bench-Capon,Paul Dunnes, risk functions are derived under squared error and LINEX loss, respectively. Based on record values, the Bayesian estimation problem of Topp-Leone distribution is studied under a new class of composite LINEX loss function. Statistical simulation is used to discuss the performances of obtaining Bayesian estimators.

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Coordination Between Logical Agentsy the position of the particles and the fitness value of each particle is evaluated using the reliability function related to this work. All the coding of QPSO algorithm is done in C++. Finally, a numerical example is solved to clarify the sensitivity of the proposed algorithm with respect to the crisp as well as the fuzzy atmospheres.