Journal of Jilin University(Engineering and Technology Edition) ›› 2021, Vol. 51 ›› Issue (5): 1851-1856.doi: 10.13229/j.cnki.jdxbgxb20201004

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

Meng-su ZHANG1(),Chun-tian LIU1,Xi-jin LI1,Yong-ping HUANG2()   

  1. 1.Human Resources Division，Jilin University，Changchun 130012，China
    2.College of Computer Science and Technology，Jilin University，Changchun 130012，China
  • Received:2020-12-30 Online:2021-09-01 Published:2021-09-16
  • Contact: Yong-ping HUANG E-mail:zms@jlu.edu.cn;hyp@jlu.edu.cn

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Abstract:

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.

Key words: computer application, K-means clustering algorithm, teaching quality, fuzzy evaluation, system design

CLC Number: 

  • TP18

Fig.1

Structure of fuzzy evaluation system for performance appraisal"

Fig.2

Block diagram of evaluation procedure"

Fig.3

Comprehensive evaluation for performance appraisal"

Table 1

Evaluation accuracy of different methods"

迭代次数本文算法模糊综合评判系统设计方法
10.650.61
20.720.69
30.780.72
40.830.76
50.920.84
60.850.79

Table 2

Evaluation time of different methods"

迭代次数本文算法证据推理系统设计方法
10.621.32
20.651.02
30.741.62
40.671.36
50.621.26
60.581.06
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