Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/157510
Authors: 
Gupta, Neha
Haseen, Sanam
Bari, Abdul
Year of Publication: 
2016
Citation: 
[Journal:] Journal of Industrial Engineering International [ISSN:] 2251-712X [Volume:] 12 [Year:] 2016 [Pages:] 459-467
Abstract: 
In reliability optimization problems diverse situation occurs due to which it is not always possible to get relevant vprecision in system reliability. The imprecision in data can often be represented by triangular fuzzy numbers. In this manuscript, we have considered different fuzzy environment for reliability optimization problem of redundancy. We formulate a redundancy allocation problem for a hypothetical series-parallel system inwhich the parameters of the systemare fuzzy. Two different cases are then formulated as non-linear programming problem and the fuzzy nature is defuzzified into crisp problems using three different defuzzification methods viz. ranking function, graded mean integration value and alpha-cut. The result of the methods is compared at the end of the manuscript using a numerical example.
Subjects: 
Reliability optimization problem
Redundancy allocation problem
Triangular fuzzy numbers
Ranking function
Graded mean integration value
Alpha-cut
Persistent Identifier of the first edition: 
Creative Commons License: 
http://creativecommons.org/licenses/by/4.0/
Document Type: 
Article

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