Artikel
Reliability optimization problems with multiple constraints under fuzziness
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.
- Sprache
-
Englisch
- Erschienen in
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Journal: Journal of Industrial Engineering International ; ISSN: 2251-712X ; Volume: 12 ; Year: 2016 ; Pages: 459-467 ; Heidelberg: Springer
- Klassifikation
-
Management
- Thema
-
Reliability optimization problem
Redundancy allocation problem
Triangular fuzzy numbers
Ranking function
Graded mean integration value
Alpha-cut
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Gupta, Neha
Haseen, Sanam
Bari, Abdul
- Ereignis
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Veröffentlichung
- (wer)
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Springer
- (wo)
-
Heidelberg
- (wann)
-
2016
- DOI
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doi:10.1007/s40092-016-0157-7
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Gupta, Neha
- Haseen, Sanam
- Bari, Abdul
- Springer
Entstanden
- 2016
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