现代制造工程Issue(2)：7-13,7.
运用改进模糊C均值算法的复杂产品功构单元模块划分方法
Modular division method of complex product function-and-structure unit based on the improved fuzzy C-means clustering algorithm
摘要
Abstract
To solve the problem in modular division of complex product function-and-structure, an improved fuzzy C-means (D-FCM)clustering algorithm for product function-and-structure was proposed. In this algorithm,distance matrix and F statistic were used to confirm the best cluster date,on this basis,fuzzy C-means clustering algorithm was used to get the result of clustering. Finally,a typical machine tool instance was given with the method of the modified fuzzy C-means clustering algorithm to test the method. At the same time,a system for machine tool granularity division was developed based on this method,which shows the validity and promise of the method mentioned above. Therefore it provides another numerical analysis method of machine tool for configuration design.关键词
复杂产品/功构单元/模块划分/模糊C均值算法Key words
complex product/function-and-structure unit/modular division/fuzzy C-means clustering algorithm分类
机械制造引用本文复制引用
马淑梅,黄立辉,李爱平,段建国..运用改进模糊C均值算法的复杂产品功构单元模块划分方法[J].现代制造工程,2012,(2):7-13,7.基金项目
国家自然科学基金资助项目(50975209) （50975209）
上海市基础研究重点项目(09JC1414500) （09JC1414500）
