采用综合加权聚类方法的农产品安全监测点规划

Planning of monitoring points for agricultural products security based on integrated weighted clustering method

利用综合加权聚类法进行了农产品安全监测点的规划,从大量的监测对象中挖掘出一定数目的重点监测样点,使较少的监测样点能覆盖尽量多的产品类别、产量及区域.结果表明:应用综合加权聚类方法能有效地进行农产品安全监测点设置,从10172个农产品安全企业样本中聚类选取2.46%的企业进行检测,检测到的产量覆盖率达到44.29%,检测到的产品类别覆盖率达到32.71%,检测到的地区覆盖率达到75%.与常规监测管理方法相比,用综合加权聚类方法检测到的产量、地区和产品类别覆盖率分别提高了10.85%、5.56%和2.80%.

Integrated weighted clustering method was applied to plan the monitoring points for agricultural products security. Definite amounts of key monitoring sampling points were mined out from enormous monitoring objects to make the fewer monitoring sampling points cover the product categories, yields, and regions as more as possible. Among the 10172 agricultural products security enterprises all over the China, 2.46% of them were selected. The tested categories, yields, and regions of agricultural safety products covered 32.71% , 44.29% , and 75% of the total, and their coverage increased by 2. 80% , 10. 85% , 5.56% , respectively, compared with that by using conventional monitoring and management methods, which suggested that it could be more effective to apply integrated weighted clustering method in setting the monitoring points for agricultural products security.