scholarly journals Research on performance Evaluation method to promote sustainable development of opening government affairs

2021 ◽  
Vol 251 ◽  
pp. 02097
Author(s):  
Mingle Zhou ◽  
Shengli Cao ◽  
Ran Wang ◽  
Yu Wang
Keyword(s):  
Neural Network ◽  
Sustainable Development ◽  
Performance Evaluation ◽  
Performance Management ◽  
Fuzzy Neural Network ◽  
Evaluation Method ◽  
Governance System ◽  
The Sustainable Development ◽  
Fuzzy Neural ◽  
Performance Evaluation Method

Open government affairs (OGA) play an important role in promoting national governance system and capacity. In order to realize an open and efficient government, it is necessary to scientifically evaluate the performance of government. The effect of OGA can be improved continuously through the feedback from evaluation, which is beneficial for the sustainable development of OGA. However, with the continuous development of OGA, the existing methods of evaluation are faced with such problems as poor-timeliness, high-cost and subjective uncertainty, which are difficult to satisfy the demands of performance evaluation of OGA. Therefore, this paper puts forward a performance evaluation method based on T-S fuzzy neural network. Our method has a strong ability of data processing, which can simplify the work flow. The T-S fuzzy neural network was trained and tested through using the performance evaluation data of all districts and counties in Shandong Province, China. Finally, the evaluation results offered by our method are highly accurate. Hence, our method is suitable for the performance evaluation of OGA, it can continuously enhance the improvement of government’s performance management and capacity building so as to promote the sustainable development of OGA.

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