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.
Cite
@article{arxiv.cs/0405049,
title = {Export Behaviour Modeling Using EvoNF Approach},
author = {Ron Edwards and Ajith Abraham and Sonja Petrovic-Lazarevic},
journal= {arXiv preprint arXiv:cs/0405049},
year = {2007}
}