Construction of the Public Management Performance Assessment Algorithm Using Fuzzy Clustering

This paper analyzes the limitations of the current public management performance evaluation system, puts forward a public management performance evaluation model based on fuzzy clustering, and expounds on the theoretical framework and principle of this method. In addition, this paper introduces the...

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Bibliographic Details
Published in:Journal of environmental and public health Vol. 2022; no. 1; p. 1272099
Main Author: Zhang, Rong
Format: Journal Article
Language:English
Published: New York Hindawi 2022
John Wiley & Sons, Inc
Subjects:
Algorithms
Analysis
Cluster analysis
Clustering
Data envelopment analysis
Data mining
Decision making
Departments
Laws, regulations and rules
Performance assessment
Performance evaluation
Performance management
Public administration
Qualitative analysis
Research methodology
Rule of law
ISSN:1687-9805, 1687-9813, 1687-9813
Online Access:Get full text
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Summary:This paper analyzes the limitations of the current public management performance evaluation system, puts forward a public management performance evaluation model based on fuzzy clustering, and expounds on the theoretical framework and principle of this method. In addition, this paper introduces the concept and method of public management performance evaluation into the evaluation content system of government under the rule of law and realizes the combination of government under the rule of law theory and public management performance evaluation methodology. At the same time, through the analysis of the organizational system, technical system, institutional mechanism, result orientation, public satisfaction, and related index content, a public management performance evaluation index system is designed. Through macro and micro, qualitative and quantitative analysis and evaluation, the performance evaluation index system is improved, which provides an objective basis for forecasting and decision-making, control, and adjustment. The research shows that the highest accuracy of this clustering method can reach about 96%, and its accuracy is about 10% higher than that of the ID3 algorithm. It is expected that this research can make some contributions to the research of the public management performance evaluation index system. At the same time, it highlights the importance of research on performance evaluation of government ruled by law.
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Academic Editor: Zhao Kaifa
ISSN:1687-9805
1687-9813
1687-9813
DOI:10.1155/2022/1272099