Abstract: On the basis of the data of the contribution rate of foreign trade to economy in nine cities of Fujian Province from 2009 to 2016，the OWA operator weights method was proposed to allocate the weights of different years, which was combined with the TOPSIS model to make a systematic assessment of trade and economic benefits of the city. The spatial cluster analysis of the foreign trade of Fujian province economy contribution rate was also conducted. The conclusions are: the foreign trade and economic contribution rate of Quanzhou, Zhangzhou Fuzhou and Xiamen is lower than the city of Nanping, Sanming and Longyan.The city foreign trade economic contribution rate of Ningde and Putian is in the middle level. The conclusion after weight correction is consistent with the traditional TOPSIS evaluation. In addition, the contribution rate of the foreign trade to economy in various cities in Fujian shows a large spatial difference, to which the countermeasures are also put forward.

Key words: OWA operator weighting, TOPSIS model, foreign trade economic contribution rate, cluster

摘要： 以2009—2016年福建省9个地市外贸经济贡献率数据为依据，运用OWA算子赋权法对不同年份进行权重分配，结合TOPSIS模型，系统评价各地市贸易经济效益，并进行空间聚类分析。得出结论：泉州、漳州、福州和厦门的外贸经济贡献率均低于南平市、三明市和龙岩市，宁德市和莆田市的外贸经济贡献率处于中等水平，权重修正后的结论与传统TOPSIS评价结果一致，另外福建省各地市外贸经济贡献率呈现较大的空间差异。最后提出政策建议。

关键词: OWA算子赋权, TOPSIS模型, 外贸经济贡献率, 聚类