[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.
沈洋,庄伟超,吴清华,钱玲飞. 基于区间模糊VIKOR的监犯特征风险评估研究 *[J]. 数据分析与知识发现, 2019, 3(11): 70-78.
Yang Shen,Weichao Zhuang,Qinghua Wu,Lingfei Qian. Risk Assessment System for Prisons Based on Interval-valued Fuzzy VIKOR Method. Data Analysis and Knowledge Discovery, 2019, 3(11): 70-78.
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