DocumentCode :
2278912
Title :
Notice of Retraction
Assessment on Operational Risk of Power Grid Enterprises Based on Entropy Weight and Improved Grey Relation Analysis
Author :
Yuansheng Huang ; Wei Fang ; Shaohui Chen
Author_Institution :
Sch. of Bus. Adm., North China Electr. Power Univ., Baoding, China
Volume :
2
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
448
Lastpage :
451
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 paper proposes the evaluation method on operational risk of power grid enterprises based on entropy weight and improved grey relation analysis. Firstly, it uses entropy weight to fix the weights of index system for the operational risk of power grid enterprises. Secondly, it determines grey weighted related degree of ideal object for each power grid enterprise, and then evaluates operational risk of each power grid enterprise. Finally, an example is used to prove the method is effective and practical.
Keywords :
power grids; power system management; risk management; entropy weight analysis; grey relation analysis; operational risk assessment; power grid enterprises; Computer science education; Decision making; Educational technology; Entropy; Paper technology; Power generation economics; Power grids; Power system modeling; Power systems; Risk analysis; entropy weight; grey relation analysis; operational risk; power grid enterprises;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Type :
conf
DOI :
10.1109/ETCS.2010.345
Filename :
5458659
Link To Document :
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