一种基于FCM算法的电力企业人才甄选策略  

A Talent Selection Strategy for Power Enterprises Based on FCM Algorithm

作　　者：吕金历 孔宁 白望望 冯智慧 LV Jin-li;KONG Ning;BAI Wang-wang;FENG Zhi-hui(Economic Research Institute of Gansu Power Supply Branch of State Grid,Lanzhou 730050,China;College of Electrical and Information Engineering,Lanzhou University ofTechnology,Lanzhou 730050,China)

机构地区：[1]国网甘肃省电力公司经济技术研究院,甘肃兰州730050 [2]兰州理工大学电气工程与信息工程学院,甘肃兰州730050

出　　处：《电气传动自动化》2021年第1期46-51,共6页Electric Drive Automation

摘　　要：为实现电力企业人才甄选,减少人为主观性影响,研究一种基于模糊C均值(Fuzzy C-means,FCM)算法的人才综合能力评价、甄选方法。通过构建人才综合能力评价指标体系,确定各样本指标数据,并对其做标准化处理。使用轮廓系数法对不同聚类簇数下的聚类结果进行有效性分析,确定最佳的聚类簇数。最终,在FCM算法下对人才各项指标数据进行分析,不同能力层次的人才被分配到不同的簇,使其按综合能力得到有效划分,达到人才甄选目的。In order to realize the talent selection in electric power enterprises and reduce the influence of human subjectivity,this paper studies a method for evaluating and selecting talents comprehensive ability based on Fuzzy C-means(FCM)algorithm.Through the talent comprehensive ability evaluation index system,the index data of each sample are determined and normalized.The silhouette coefficient method is used to analyze the effectiveness of the clustering results under different cluster numbers to determine the optimal cluster number.Finally,the FCM algorithm is used to analyze the index data of talents,and the talents with different ability levels are assigned to different clusters,so that they can be effectively divided according to the comprehensive ability to achieve the purpose of talent selection.

关 键 词：人才甄选 模糊C均值 指标体系 数据标准化 轮廓系数 

分 类 号：TP305[自动化与计算机技术—计算机系统结构]