Modelling, simulation and forecasting of competing dynamic companies using a new fuzzy-genetic approach

Authors:
Oscar Castillo;Patricia Melin
Affiliations:
Department of Computer Science, Tijuana Institute of Technology, P.O. Box 4207, Chula Vista CA;Department of Computer Science, Tijuana Institute of Technology, P.O. Box 4207, Chula Vista CA
Venue:
Systems Analysis Modelling Simulation
Year:
2002

Citing 2
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Systems Analysis Modelling Simulation

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Abstract

We describe in this paper 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 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.