Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

Interval-valued grey fuzzy based groundwater remediation management under uncertainty

Authors
Lixia Ren, Li He, Xi Cheng, Zheng Wang
Corresponding Author
Lixia Ren
Available Online June 2016.
DOI
10.2991/mmebc-16.2016.198How to use a DOI?
Keywords
groundwater remediation, grey fuzzy, interval, uncertainty.
Abstract

This study is to develop an outranking method to identify compromised groundwater remediation strategies based on interval-valued grey fuzzy sets in 10-year and 20-year periods under uncertainty. The interval-valued grey fuzzy sets that could quantify the ambiguous nature of subjective judgments, have received increasing attention because of their great ability to handle imprecise and ambiguous information in real-world applications. In the case of Coal-fired Power Plant, ten alternatives and four criteria are considered. Results from the case study indicate that A8 is the optical remediation strategy under 10-year period, A2 in 20-year remediation duration.

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 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/mmebc-16.2016.198
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.198How 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  - Lixia Ren
AU  - Li He
AU  - Xi Cheng
AU  - Zheng Wang
PY  - 2016/06
DA  - 2016/06
TI  - Interval-valued grey fuzzy based groundwater remediation management under uncertainty
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 948
EP  - 952
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.198
DO  - 10.2991/mmebc-16.2016.198
ID  - Ren2016/06
ER  -