Export Behaviour Modeling Using EvoNF Approach
  The academic literature suggests that the extent of exporting by
multinational corporation subsidiaries (MCS) depends on their product
manufactured, resources, tax protection, customers and markets, involvement
strategy, financial independence and suppliers' relationship with a
multinational corporation (MNC). The aim of this paper is to model the complex
export pattern behaviour using a Takagi-Sugeno fuzzy inference system in order
to determine the actual volume of MCS export output (sales exported). The
proposed fuzzy inference system is optimised by using neural network learning
and evolutionary computation. Empirical results clearly show that the proposed
approach could model the export behaviour reasonable well compared to a direct
neural network approach.
