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Suicide Risk Assessment Model Based on Fuzzy Mathematics
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NETL
Springer Nature
At present， most of the research on suicide stays in the traditional fields of sociology and psychology。 In order to make suicide evaluation more objective， this paper uses fuzzy mathematics to analyze the reason of suicide。 A suicide risk assessment model is established according to social factors and self-factors to assess whether individuals have suicidal tendencies。 Firstly， it is important to determine the evaluation set of fuzzy comprehensive evaluation of suicide factors by fuzzy mathematics and membership function and the boundary value of the risk level by k-means clustering algorithm， and then pass the fuzzy evaluation the factor set and the comprehensive evaluation set calculate the single-factor fuzzy evaluation matrix， and normalize it， finally the mathematical model is established to get suicide risk score evaluation。 The judgment matrix in the analytic hierarchy process is used to construct the judgment matrix of suicide factors to calculate the CR value to judge the validity of the matrix， and then judge the validity of the model。 Through calculation， the CR value is 0。0227， which is far less than 0。1。 Experiments show that the constructed suicide risk evaluation model is reasonable and can be used in the practical application of psychological evaluation。
SuicideFuzzy mathematicsK-meansAnalytic hierarchy process
NETL
Springer Nature
