DocumentCode :
527753
Title :
Notice of Retraction
Fuzzy chance-constrained textile green trade barrier early warning system
Author :
Xinghua Wu ; Huanbin Sha
Author_Institution :
Tech. Secondary Sch., Dezhou Coll., Dezhou, China
Volume :
5
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
2361
Lastpage :
2364
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.

This paper outlines the green trade barrier early warning system (GTBEWS). Then, a fuzzy chance-constrained programming with environment costs is provided, where the environment costs are characterized as fuzzy variables and used to measure the GTBEWS. To give a method to solve the new model, a hybrid intelligent algorithm integrating fuzzy simulation and genetic algorithm is designed in the paper. A numerical example with environment costs taking different types of membership functions are also given to illustrate the modeling idea of the paper and to demonstrate the effectiveness of the proposed algorithm.
Keywords :
constraint handling; fuzzy set theory; genetic algorithms; textiles; trade barriers; environment costs; fuzzy chance-constrained programming; fuzzy simulation; fuzzy variables; genetic algorithm; hybrid intelligent algorithm; membership functions; trade barrier early warning system; Alarm systems; Algorithm design and analysis; Biological cells; Computational modeling; Green products; Numerical models; Textiles; chance-constrained programming; enviorment cost; fuzzy simulation; fuzzy variable; genetic algorithm; green trade barrier early warning system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5584074
Filename :
5584074
Link To Document :
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