Intelligent simulation and forecasting of competing dynamic companies with a fuzzy-genetic approach

Author

Castillo, Oscar ; Melin, Patricia

Author_Institution

Dept. of Comput. Sci., Tijuana Inst. of Technol., Chula Vista, CA, USA

fYear

2000

fDate

2000

Firstpage

97

Lastpage

100

Abstract

We describe the application of a new method for automated simulation of nonlinear dynamical systems, using a fuzzy-genetic approach, to the problem of simulating companies as they compete for the market of their products. A particular company can be viewed as a dynamical system evolving in time and also competing with similar companies for the market of their products. Also, within an international trade agreement there are also competing companies from foreign countries, which complicates the problem even more. We can apply our new method for automated simulation (O. Castillo and P. Melin, 1998) to simulate the evolution of a company or a group of companies as they compete for a fixed market. As a result of these simulations, we can formulate specific mathematical conditions for a specific country to go bankrupt or specific conditions for another company to have success

Keywords

digital simulation; economic cybernetics; economics; forecasting theory; fuzzy set theory; genetic algorithms; international trade; knowledge based systems; nonlinear dynamical systems; automated simulation; bankruptcy; competing dynamic companies; dynamical system; fixed market; forecasting; foreign countries; fuzzy-genetic approach; intelligent simulation; international trade agreement; mathematical conditions; nonlinear dynamical systems; Biological system modeling; Computational modeling; Computer science; Economic forecasting; Environmental factors; Genetic algorithms; Intelligent systems; Mathematical model; Nonlinear dynamical systems; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Financial Engineering, 2000. (CIFEr) Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on

Conference_Location

New York, NY

Print_ISBN

0-7803-6429-5

Type

conf

DOI

10.1109/CIFER.2000.844608

Filename

844608