DocumentCode :
2022950
Title :
Notice of Retraction
Water resources risk assessment based on rough set and extension theory
Author :
Hongqi Wang ; Cheng Qin ; Wenwen Zhang
Author_Institution :
Coll. of Water Sci., Beijing Normal Univ., Beijing, China
Volume :
6
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
2950
Lastpage :
2954
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

The universal indicator system of water resources risk assessment has been built based on natural disaster risk theory, and it were disposed with rough set theory, which realized the attribute reduction to those indicators. Thus we can get target indicators in accordance with reality in the evaluation area and the weight of the indicators has been identified by subjective (Analytic Hierarchical Process) and objective (Entropy weight) synthetic approach. On this basis, risk assessment of water resources has been made by comprehensive evaluation method which is based on extension theory. RS-ET (Rough Set - Extension Theory) method of water resources risk assessment has been built coupling with the above theory. Finally, the water resources risk assessment of Quanzhou has been made by RS-ET method, and the results show that the RS-ET method is practicable.
Keywords :
decision making; disasters; risk management; rough set theory; water resources; analytic hierarchical process; attribute reduction; comprehensive evaluation method; entropy weight synthetic approach; extension theory; natural disaster risk theory; rough set theory; target indicators; universal indicator system; water resources risk assessment; Correlation; Hazards; Indexes; Risk management; Set theory; Water resources; attribute reduction; extension theory; indicator system; risk assessment; rough set; synthetical weight;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-5931-5
Type :
conf
DOI :
10.1109/FSKD.2010.5569077
Filename :
5569077
Link To Document :
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