模糊聚类模型及其在国际市场划分中的应用研究

An Application Study on International Market Segmentation Based on Fuzzy Clustering Model

当前,在全球金融危机的背景下,经济低迷。中国经济对国际市场的依存度较高,贸易保护主义正在进一步加剧,中国面临的贸易摩擦形势将更加严峻,在这种情况下,如何应对国际市场的变化是当前社会各界关注的热点课题。由于影响国际市场的因素众多,且复杂多变难以精确定量测度,具有较强的模糊不确定性,针对该问题的模糊不确定性,构建了模糊聚类模型,并通过实例基于MATLAB程序设计进行仿真计算,形成了模糊动态聚类,对国际市场进行了定量的模糊划分,以说明该模型的有效性、可靠性和实用性,从而为中国出口企业进行国际市场决策,正确评估国际市场的变化情况,更加理性地预见和把握国际市场的发展趋势,寻求新的出口市场,提供一种新的科学定量分析方法。

Now trade protectionism was being further intensified in the context of global financial crisis because of global economic downturn. The economy of China was highly dependent on the international market. The situation of trade friction would be even more severe in China. How to response to the changes of international marketing was a hot topic which all communities currently concern. The factors which affect the international market were complex and changeable. It was also difficult to measure accurately. These factors also were strong fuzzy un- certainty. The article built a fuzzy clustering model for strong fuzzy uncertainty of factors and created a dynamic clustering through examples of MATLAB-based simulation program designed. The fuzzy clustering model was effective and reliable through fuzzy partition for the international market. This article provided a new science method of quantitative analysis for the export enterprises which did decision-making and 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.