Standby redundancy optimization problems with fuzzy lifetimes

Authors:
Ruiqing Zhao;Baoding Liu
Affiliations:
Institute of Systems Engineering, Tianjin University, Tianjin, China;Uncertainty Theory Laboratory, Department of Mathematical Sciences, Tsinghua University, Beijing, China
Venue:
Computers and Industrial Engineering
Year:
2005

Citing 13
Cited 3

Single value simulation of fuzzy variables

Fuzzy Sets and Systems
Fuzzy variables as a basis for a theory of fuzzy reliability in the possibility context

Fuzzy Sets and Systems
The expected value of a fuzzy number

Fuzzy Sets and Systems
Computation and learning in the context of neural network capacity

Neural networks for perception (Vol. 2)
Chance constrained programming with fuzzy parameters

Fuzzy Sets and Systems
A note on chance constrained programming with fuzzy coefficients

Fuzzy Sets and Systems
Minimax chance constrained programming models for fuzzy decision systems

Information Sciences: an International Journal
Programming Microsoft Office 2000 Web Components with Cdrom

Programming Microsoft Office 2000 Web Components with Cdrom
Uncertain Programming

Uncertain Programming
Theory and Practice of Uncertain Programming

Theory and Practice of Uncertain Programming
Dependent-chance programming with fuzzy decisions

IEEE Transactions on Fuzzy Systems
Expected value of fuzzy variable and fuzzy expected value models

IEEE Transactions on Fuzzy Systems
An iterative pruning algorithm for feedforward neural networks

IEEE Transactions on Neural Networks

Chance-constrained programming models for capital budgeting with NPV as fuzzy parameters

Journal of Computational and Applied Mathematics
Portfolio selection with fuzzy returns

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Modelling redundancy allocation for a fuzzy random parallel-series system

Journal of Computational and Applied Mathematics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Three types of system performances--the expected system lifetime, α-system lifetime, and system reliability--characterized in the context of credibility are investigated in this paper. Some fuzzy simulations are designed to estimate these system performances. In order to formulate general standby redundancy optimization problems with fuzzy lifetimes, a spectrum of standby redundancy fuzzy programming models are proposed. Fuzzy simulation, neural network, and genetic algorithm are also integrated to produce a hybrid intelligent algorithm for solving those models. Finally, some numerical experiments on multi-stage system and network system are provided.