Proceedings of the 2023 3rd International Conference on Financial Management and Economic Transition (FMET 2023)

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A Fuzzy Comprehensive Evaluation System for Performance Appraisal Based on Clustering Algorithm

Authors
Kai Zhang1, *
1General Management Department, Gusu Laboratory, Jiangsu, 215123, China
*Corresponding author. Email: zhangkai2021@gusulab.ac.cn
Corresponding Author
Kai Zhang
Available Online 15 October 2023.
DOI
10.2991/978-94-6463-272-9_19How to use a DOI?
Keywords
K-means clustering algorithm; Performance evaluation; Fuzzy evaluation; system design
Abstract

In response to the traditional performance evaluation methods that require a large amount of manpower and material resources to be uniformly allocated, and the storage methods of input data are not unified, resulting in low evaluation efficiency and accuracy, a performance evaluation fuzzy comprehensive evaluation system design method based on K-means clustering algorithm is proposed. The system consists of a data preparation module, a performance evaluation fuzzy evaluation module, a report processing module The system maintenance module constitutes the overall structure of the performance evaluation fuzzy comprehensive evaluation system. Using the Analytic Hierarchy Process to calculate the corresponding weights of performance evaluation indicators, a fuzzy evaluation model for performance evaluation is constructed. The K-means clustering algorithm is used to solve the fuzzy comprehensive evaluation model for performance evaluation, achieving the evaluation of performance evaluation and completing the design of the fuzzy comprehensive evaluation system for performance evaluation. The experimental results show that the evaluation efficiency and accuracy of this method are high.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Financial Management and Economic Transition (FMET 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
15 October 2023
ISBN
10.2991/978-94-6463-272-9_19
ISSN
2352-5428
DOI
10.2991/978-94-6463-272-9_19How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Kai Zhang
PY  - 2023
DA  - 2023/10/15
TI  - A Fuzzy Comprehensive Evaluation System for Performance Appraisal Based on Clustering Algorithm
BT  - Proceedings of the 2023 3rd International Conference on Financial Management and Economic Transition (FMET 2023)
PB  - Atlantis Press
SP  - 178
EP  - 185
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-272-9_19
DO  - 10.2991/978-94-6463-272-9_19
ID  - Zhang2023
ER  -