Architecture research of Decision Support System for Tariff and Trade based on the multi-dimensional modeling techniques

This study explores the architecture of Decision Support System for Tariff and Trade that not only facilitates data analysis and trade forecast by providing an integration of report generation tools, but also enhances the retrieval of information and support decision-making by providing economic quantitative analysis tools and system modeling tools. Based on multi-dimensional modeling techniques of data warehouse, this paper explores how to construct the Decision Support System for Tariff and Trade and implement the integration of various heterogeneous, distributed data sources. This study contributes to DSS and artificial intelligence. Firstly, it considers how to comprehensively observe the changes of annual trade data and tariff among countries in the world. Secondly, it can timely analyze and forecast the import and export trade trend. Finally, it integrates a tool to systematically analyze comparative advantages, trade complementary and trade competitive between the members of the Free Trade Area, thus providing scientific data and decision support for the negotiators.