Redundancy optimization problems with uncertainty of combining randomness and fuzziness

DOI10.1016/S0377-2217(03)00272-8zbMath1067.90027MaRDI QIDQ703929

Ruiqing Zhao, Baoding Liu

Publication date: 12 January 2005

Published in: European Journal of Operational Research (Search for Journal in Brave)

zbMATH Keywords

Neural networksGenetic algorithmsProgrammingReliability

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Reliability, availability, maintenance, inspection in operations research (90B25) Neural networks for/in biological studies, artificial life and related topics (92B20)

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Cites Work

• Fuzzy random variables - I. Definitions and theorems
• On the computational complexity of reliability redundancy allocation in a series system
• Chance constrained programming with fuzzy parameters
• Random fuzzy programming with chance measures defined by fuzzy integrals.
• Random fuzzy dependent-chance programming and its hybrid intelligent algorithm
• Theory and practice of uncertain programming
• Solving the redundancy allocation problem using a combined neural network/genetic algorithm approach
• A note on chance constrained programming with fuzzy coefficients
• Dependent-chance programming in fuzzy environments
• Expected Value Operator of Random Fuzzy Variable and Random Fuzzy Expected Value Models

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