Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)

Study on a Multilevel Fuzzy Evaluation Method for Reliability Allocation

Authors
Xuehong He, Yuxiang Du, Liyang Xie
Corresponding Author
Xuehong He
Available Online September 2017.
DOI
https://doi.org/10.2991/amee-17.2017.18How to use a DOI?
Keywords
aeroengine; reliability allocation; fuzzy theory; the improved AHP
Abstract

Reliability allocation is a significant part of reliability design. There are a number of factors that affect the reliability. A new method of reliability allocation is proposed based on the fuzzy theory and AHP method. The core of this method is to introduce the improved AHP method to determine the weight of factors, and the Fuzzy evaluation allocation method is used for comprehensive evaluation. Finally, an engineering example is given to illustrate its application and its simplicity and effectiveness.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
978-94-6252-393-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/amee-17.2017.18How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xuehong He
AU  - Yuxiang Du
AU  - Liyang Xie
PY  - 2017/09
DA  - 2017/09
TI  - Study on a Multilevel Fuzzy Evaluation Method for Reliability Allocation
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
PB  - Atlantis Press
SP  - 83
EP  - 88
SN  - 2352-5401
UR  - https://doi.org/10.2991/amee-17.2017.18
DO  - https://doi.org/10.2991/amee-17.2017.18
ID  - He2017/09
ER  -