Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

The analysis of space junk clean-up program based on Fuzzy preference decision time-dependent model based on entropy weight and ameliorative AHP

Authors
Xinyue Tantai
Corresponding Author
Xinyue Tantai
Available Online December 2016.
DOI
10.2991/iceeecs-16.2016.71How to use a DOI?
Keywords
Space debris AHP Entropy weight
Abstract

NASA demonstrated that there are more than 500,000 pieces of space debris around the earth. It is necessary to remove the space junk because they do great harm to the aircraft. How to remove the space junk has become a universal concern..In this paper, two models are established to determine commercial opportunity for private firm and to find the best alternative to remove the space junk.

Copyright
© 2016, 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 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
10.2991/iceeecs-16.2016.71
ISSN
2352-538X
DOI
10.2991/iceeecs-16.2016.71How to use a DOI?
Copyright
© 2016, 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  - Xinyue Tantai
PY  - 2016/12
DA  - 2016/12
TI  - The analysis of space junk clean-up program based on Fuzzy preference decision time-dependent model based on entropy weight and ameliorative AHP
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 343
EP  - 346
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.71
DO  - 10.2991/iceeecs-16.2016.71
ID  - Tantai2016/12
ER  -