@article{ref1,
title="Risk Assessment System for Prisons Based on Interval-valued Fuzzy VIKOR Method",
journal="Data Analysis and Knowledge Discovery",
year="2019",
author="Shen, Y. and Zhuang, W. and Wu, Q. and Qian, L.",
volume="3",
number="11",
pages="70-78",
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. © 2019 The Author(s).<p /><p>Language: zh</p>",
language="zh",
issn="2096-3467",
doi="10.11925/infotech.2096-3467.2019.0422",
url="http://dx.doi.org/10.11925/infotech.2096-3467.2019.0422"
}