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Risk Assessment System for Prisons Based on Interval-valued Fuzzy VIKOR Method |
Yang Shen1(),Weichao Zhuang1,Qinghua Wu2,Lingfei Qian1 |
1 College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210006, China 2 Wuxi Zhuoxin Information Technology Co., Ltd, Wuxi 214000, China |
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Abstract [Objective] This study tries to improve the assessment of prison risks, such as violence, suicide, being abetting or abetted. [Methods] We proposed a risk assessment system for prisoners based on the interval-valued fuzzy VIKOR method. First, on the basis of 62-dimesion sample data of more than 1100 prisoner records, we established the optimized data set with interval-valued fuzzy VIKOR method. Then, we trained the new model with multiple machine learning algorithms. Finally, we compared the performance of our model with the existing ones. [Results] The precision, recall and F1 values were improved by 8.9%, 11.1% and 0.1 respectively. [Limitations] We could not propose a universal algorithm for all types of risks. [Conclusions] Our model provides some new directions for prison management and research.
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Received: 22 April 2019
Published: 18 December 2019
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Corresponding Authors:
Yang Shen
E-mail: shen.y@nuaa.edu.cn
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