Quantitative Analysis Method on International Market Segmentation Based on Fuzzy Clustering Model

Abstract

Now trade protectionism is being further intensified in the context of global financial crisis because of global economic downturn. The situation of trade friction will be even more severe in China. The factors which affect the international market are complex and changeable. These factors also are Strong fuzzy uncertainty. The article build a fuzzy clustering model for strong fuzzy uncertainty of factors and create a dynamic clustering graph through examples of MATLAB-based simulation program designed. The fuzzy clustering model is effective and reliable through fuzzy partition for the international market. This article provides a new science method of quantitative analysis for the export enterprises in decision-making can be quantified to assess the changes in the international market. The new method of quantitative analysis also can be beneficial to anticipate and grasp the development trend of international market and seek new export markets.