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The academic literature suggests that the extent of exporting by multinational corporation subsidiaries (MCSs) depends on their strategic role in the multinational corporation (MNC), their age and size, and whether their products are targeted at niche or commodity markets. In particular, it is claimed that MNCs that are attracted to invest in a particular country because of its resources, that adopt a vertically integrated structure, that grant regional or global sales mandates to their subsidiaries or have been established in a host market for a longer time are more likely to promote subsidiary exports. The aim of this paper is to model the complex export pattern behaviour of multinational corporation subsidiaries in Malaysia using a Takagi-Sugeno fuzzy inference system learned using neural learning technique. Empirical results clearly show that the proposed approach could model the export behaviour reasonably well compared to an ARIMA approach and a neural network.