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改进的灰聚类方法在区域主导产业选择中的应用

Application of improved grey clustering method to selection of regional leading industry
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摘要 针对区域主导产业选择特点以及目前研究不足,提出了一种改进的灰聚类方法.该方法在中心点三角白化权函数的基础上,构造了一种新的白化权函数,即中心点三角波白化权函数,以熵权作为聚类权重,运用综合决策测度对每一灰类决策对象进行排序.以重庆市主导产业选择为实例,运用Matlab数值计算,验证了该方法对选择区域主导产业的可行性和有效性,通过与中心点三角白化权函数的灰评估结果对比,证明该方法能较准确地选择出主导产业,具有一定的优越性. Aiming at the features of selection of regional leading industry and the shortage of existing researches, an im- proved grey clustering method is proposed. In this method, a center-point triangular wave whitenization weight function is constructed based on center-point triangular whitenization weight function, the clustering weights are given by the method of entropy weight, the synthetic decision measures are used to rank all the objects that belong to the same grey class. Tak- ing the selection of regional leading industry of Chongqing for example, through the computation by using Matlab, the fea- sibility and validity of this method are verified. The method is proved to be accurate and has some advantages by compar- ing the results of grey evaluation of this method with that of center-point triangular whitenization weight function.
出处 《天津师范大学学报(自然科学版)》 CAS 2013年第2期25-28,共4页 Journal of Tianjin Normal University:Natural Science Edition
基金 教育部人文社会科学基金资助项目(10YJC630395)
关键词 灰色定权聚类 白化权函数 主导产业 fixed weights grey clustering whitenization weight function leading industry
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