2009 IITA International Conference on Services Science, Management and Engineering A Novel Fuzzy Evolutionary Algorithm for Forecasting of International Trade in Dynamical Environment Zhangjiajie, China July 11-July 12 ISBN: 978-0-7695-3729-0
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SSME.2009.50
We describe in this paper non-linear mathematical models that can be used to study the dynamics of international trade. Mathematical models of International Trade (IT), between three or more countries, can show very complicated dynamics in time (with the possible occurrence of chaotic behavior). The simulation of these models is critical in understanding the behavior of the relevant financial and economical variab1es.for the problem of IT. Also, performing the simulations for different parameter values of the models will enable the forecasting of future IT. The problem of forecasting of IT has been solved in this paper buy using evolutionary algorithm combining fuzzy logic techniques. The importance of forecasting of IT can be measured if we consider that one of the goa1s for a specific country is to find the optimum benefit from its international trade with other countries.
Index Terms:
Evolutionary Algorithm, International Trade, Fuzzy
Citation:
Ling Lin, Mingguo Xia, "A Novel Fuzzy Evolutionary Algorithm for Forecasting of International Trade in Dynamical Environment," ssme, pp.325-328, 2009 IITA International Conference on Services Science, Management and Engineering, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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