Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)

Evaluation of Equipment Maintenance Support Ability Based on Binary Semantics

Authors
Xianming Shi, Dunxiang Zhu, Xiaobo Su, Yongle Wu
Corresponding Author
Xianming Shi
Available Online May 2018.
DOI
10.2991/meees-18.2018.87How to use a DOI?
Keywords
Binary semantics; equipment maintenance support; ability assessment.
Abstract

In order to effectively overcome the original evaluation method of subjectivity, the complexity of equipment maintenance, the uncertainty problem, based on the analysis of existing evaluation method, construct the evaluation index system of equipment maintenance support capability, illustrates the basic principle of two tuple, will evaluate the two tuple and capacity closely, given the equipment maintenance support capability two Yuan based on semantic evaluation method, and analyzes an example. Finally, we compare the two-tuple linguistic analysis with AHP and BP neural network. The results show that the method can objectively evaluate the equipment maintenance support ability and has certain reference value

Copyright
© 2018, 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 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-534-4
ISSN
2352-5401
DOI
10.2991/meees-18.2018.87How to use a DOI?
Copyright
© 2018, 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  - Xianming Shi
AU  - Dunxiang Zhu
AU  - Xiaobo Su
AU  - Yongle Wu
PY  - 2018/05
DA  - 2018/05
TI  - Evaluation of Equipment Maintenance Support Ability Based on Binary Semantics
BT  - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
PB  - Atlantis Press
SP  - 500
EP  - 505
SN  - 2352-5401
UR  - https://doi.org/10.2991/meees-18.2018.87
DO  - 10.2991/meees-18.2018.87
ID  - Shi2018/05
ER  -