摘要
利用迭代自组织分析技术(ISODATA)和遗传算法(GA)嵌套构成遗传—迭代自组织分析技术(GA ISODATA)共同执行模糊C-均值的优化算法,该方法不仅能够在给定预分类数的前提下实现最佳分类,而且在完全不需要人工干预的环境下直接得到模糊C-均值(FCM)中最佳分类数.理论证明和实际应用都表明该方法是一种对复杂经济系统实行软分类的有效方法.
This paper uses ISODATA and GA to construct the GA-ISODATA nestingly, in order to perform the optimization algorithms of the FCM at the same time. This method can not only complete the optimal partition on the promise of giving the number with pre-classification, but also directly get the optimal number with classification in FCM without people's engagement. Theory prove and practical application both demonstrate that this method is a valid way to realize soft-partition in complicated economic system.
出处
《管理科学学报》
CSSCI
北大核心
2005年第3期8-14,共7页
Journal of Management Sciences in China
基金
国家自然科学基金资助项目(70273044).
