Fuzzy multi-objective mathematical programming on reliability optimization model

This paper considers multi-objective reliability optimization problem for system reliability where reliability enhancement is involved with several mutually conflicting objectives. It is conflicting to reduce the cost of the system and improve the reliability of the same system simultaneously. A new...

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Bibliographic Details
Published in:Applied mathematics and computation Vol. 174; no. 1; pp. 643 - 659
Main Authors: Mahapatra, G.S., Roy, T.K.
Format: Journal Article
Language:English
Published: New York, NY Elsevier Inc 01.03.2006
Elsevier
Subjects:
Applied sciences
Calculus of variations and optimal control
Complex system
Exact sciences and technology
Fuzzy optimization
Generalized triangular fuzzy number
Mathematical analysis
Mathematics
Multi-objective optimization
Numerical analysis
Numerical analysis. Scientific computation
Numerical methods in mathematical programming, optimization and calculus of variations
Operational research and scientific management
Operational research. Management science
Reliability optimization
Reliability theory. Replacement problems
Sciences and techniques of general use
Series system
Generalized triangular fuzzy number
Reliability optimization
Multi-objective optimization
Fuzzy optimization
Series system
Complex system
Decision making
Optimization method
Multiobjective programming
Fuzzy programming
System reliability
Numerical analysis
Applied mathematics
Mathematical programming
ISSN:0096-3003, 1873-5649
Online Access:Get full text
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Summary:This paper considers multi-objective reliability optimization problem for system reliability where reliability enhancement is involved with several mutually conflicting objectives. It is conflicting to reduce the cost of the system and improve the reliability of the same system simultaneously. A new fuzzy multi-objective optimization method is introduced and it is used for the optimization decision making of the series and complex system reliability with two objectives. In general, cost of the components of the system’s objective goals has not been stated clearly. This imprecise reliability optimization model is solved through the fuzzy multi-objective optimization method. Examples are shown to illustrate the method.
ISSN:0096-3003
1873-5649
DOI:10.1016/j.amc.2005.04.105