Fuzzy clustering analysis based on genetic algorithm and its application
基于遗传算法的模糊聚类研究及其应用

To overcome the sensitivity of initialization of the traditional Fuzzy Clustering,a Fuzzy Clustering arithmetic based on Genetic Algorithm(GA) was proposed in this paper.This arithmetic combined the rules of the accomplishment of the Genetic Algorithm and the rules of the traditional Fuzzy Clustering,so it can not only enhance the performance of Clustering Analysis,but also accelerate its constringency.The arithmetic was much more efficient than blindfold searching;in addition,its practicability and replantation were better than special arithmetic for given object.This method has been successfully used in the Human Resource Management(HRM) of a dairy-industry company and introduces a new way for employees' performance evaluation,and it is proved to be universal and effective.