摘要
采用心理量表方法对236名企业员工的组织氛围和满意度进行了测量,针对K-means方法的缺点,采用量子遗传算法对员工的组织氛围数据进行聚类。运用10位量子比特位对聚类中心的每一维数值进行编码,同时采用旋转门方式对染色体进行迭代演化。对聚类所得3类员工的组织氛围和满意度分数进行统计检验,结果表明,两者都存在显著性差异,说明运用量子遗传算法进行聚类是可行的,聚类的结果对改进企业的管理水平具有理论参考价值。
The organizational atmosphere perception and satisfaction of 236 staff were measured with psychological scale. To overcome shortcomings of K-means, quantum genetic algorithm was used to cluster the data of organizational atmosphere. Each dimensional data of cluster center was coded with 10 quantum bits. The chromosomes were iteratively evaluated with rotation gate. Three categories of staff were obtained. There were signiifcant differences of organizational atmosphere and satisfaction scores among the categories. It means that the cluster analysis with quantum genetic algorithm is feasible. The result is valuable to improve the management level for the enterprise.
出处
《集成技术》
2013年第6期8-10,共3页
Journal of Integration Technology
基金
国家自然基金(71131004
71271093)
关键词
量子遗传算法
聚类分析
心理测量
组织氛围
满意度
Quantum genetic algorithm
cluster analysis
psychological measurement
organizational atmosphere perception
satisfaction degree
