Stress strength reliability in the presence of fuzziness

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2015

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Elsevier Science Bv

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Industrial Engineering
(1998)
Industrial Engineering is a field of engineering that develops and applies methods and techniques to design, implement, develop and improve systems comprising of humans, materials, machines, energy and funding. Our department was founded in 1998, and since then, has graduated hundreds of individuals who may compete nationally and internationally into professional life. Accredited by MÜDEK in 2014, our student-centered education continues. In addition to acquiring the knowledge necessary for every Industrial engineer, our students are able to gain professional experience in their desired fields of expertise with a wide array of elective courses, such as E-commerce and ERP, Reliability, Tabulation, or Industrial Engineering Applications in the Energy Sector. With dissertation projects fictionalized on solving real problems at real companies, our students gain experience in the sector, and a wide network of contacts. Our education is supported with ERASMUS programs. With the scientific studies of our competent academic staff published in internationally-renowned magazines, our department ranks with the bests among other universities. IESC, one of the most active student networks at our university, continues to organize extensive, and productive events every year.

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This paper investigates the stress-strength reliability in the presence of fuzziness. The fuzzy membership function is defined as a function of the difference between stress and strength values, and the fuzzy reliability of single unit and multicomponent systems are calculated. The inclusion of fuzziness in the stress-strength interference enables the user to make more sensitive analysis. Illustrations are presented for various stress and strength distributions, (C) 2015 Elsevier B.V. All rights reserved.

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Tütüncü, G.Yazgı/0000-0002-9363-6141; Eryilmaz, Serkan/0000-0002-2108-1781
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Tütüncü, G.Yazgı ORCID logo
Eryilmaz, Serkan ORCID logo

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Estimation, Fuzzy reliability, System signature

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Volume

282

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Start Page

262

End Page

267

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https://doi.org/10.1016/j.cam.2014.12.047
 https://hdl.handle.net/20.500.14411/818

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