DocumentCode :
2352868
Title :
A Fuzzy Chance-Constrained Programming Model for Liquid Chlorine Downstream Products Selection Problem in Environmental Services
Author :
Zhao, Tao ; Wang, Xin
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
fYear :
2011
fDate :
March 29 2011-April 2 2011
Firstpage :
630
Lastpage :
635
Abstract :
Development of cyclic economy is not only an important part of environmental services, but also the inevitable choice to achieve sustainable development. China´s chlor-alkali chemical cyclic economy development mode focus on fine chemical industry. In this paper, fuzzy theory is applied, and a fuzzy chance-constrained programming model based on credibility measure for liquid chlorine downstream products selection problem is built for a chlor-alkali chemical eco-industrial park. And two methods are designed to solve the model. When the fuzzy variables are triangular fuzzy numbers, the crisp equivalent of the model are derived. When the model can´t be transformed into a crisp equivalent, a genetic algorithm based on fuzzy simulation is designed for solving the model problem. Finally, a numerical example is presented to illustrate the modeling idea and the effectiveness of the proposed algorithm.
Keywords :
chemical industry; chlorine; constraint handling; environmental science computing; fuzzy set theory; genetic algorithms; chlor alkali chemical cyclic economy development; chlor alkali chemical eco industrial park; environmental services; fuzzy chance constrained programming model; fuzzy simulation; fuzzy theory; genetic algorithm; liquid chlorine downstream products selection problem; sustainable development; triangular fuzzy numbers; Biological cells; Chemicals; Genetic algorithms; Investments; Numerical models; Optimization; Programming; crisp equivalent; environmental services; fuzzy chance-constrained programming; genetic algorithm; products selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SRII Global Conference (SRII), 2011 Annual
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-61284-415-2
Electronic_ISBN :
978-0-7695-4371-0
Type :
conf
DOI :
10.1109/SRII.2011.69
Filename :
5958142
Link To Document :
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