基于K-means聚类算法的绩效考核模糊综合评价系统设计

Design of fuzzy comprehensive evaluation system for performance appraisal based on K-means clustering algorithm

针对传统的绩效考核评价方法需要大量的人力和物力统一分配资源,且输入数据的存储方式也不统一,导致评价效率低和评价准确率低的问题,提出一种基于K-means聚类算法的绩效考核模糊综合评价系统设计方法,通过数据准备模块、绩效考核模糊评价模块、报表处理模块、系统维护模块构成绩效考核模糊综合评价系统的整体结构。采用层次分析法对绩效考核评价指标对应的权重进行计算,构建绩效考核模糊评价模型,采用K-means聚类算法对绩效考核模糊综合评价模型进行求解,实现绩效考核的评价,完成绩效考核模糊综合评价系统的设计。实验结果表明:本文方法的评价效率高、评价准确率高。

Traditional teaching quality evaluation methods require a large amount of human and material resources to be uniformly allocated and the input data are not stored in a uniform way. Such methods suffer from low evaluation efficiency and low evaluation accuracy. Therefore,this paper proposes a design method of teaching quality fuzzy comprehensive evaluation system based on K-means clustering algorithm,which constitutes the overall structure of teaching quality fuzzy comprehensive evaluation system through data preparation module,teaching quality fuzzy evaluation module,report processing module and system maintenance module. The hierarchical analysis method is used to calculate the weights corresponding to the talent quality evaluation indexes,construct the teaching quality fuzzy evaluation model,solve the teaching quality fuzzy comprehensive evaluation model by K-means clustering algorithm,realize the evaluation of teaching quality,and complete the design of the teaching quality fuzzy comprehensive evaluation system.The experimental results show that the proposed method has high evaluation efficiency and high evaluation accuracy.