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Fuzzy Inference Model for Punishing a Perpetrator in a Judicial Process

机译:司法程序中处罚肇事者的模糊推理模型

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Court jurisdiction shows that the infliction of penalty by a judge is his personal decision. In judicial decisions, the judges do not specify clear premises or rules that were the basis for a concrete decision on the size of the penalty. In this paper, we attempt to build a model of inference based on fuzzy logic, allowing to formalize the principles resulting from the act. The logical model was built without a judge, through a detailed study of legal prerequisites contained in the Polish Penal Code. The purpose of this paper is a formal analysis of the rules and principles of the functioning of the law using mathematical tools. The results of our research will show whether the model built by us, based on a profound analysis of the premises contained in the Penal Code can give similar results as judicial decisions. In practical terms, the proposed inference model may also help inexperienced judges to make decisions. Due to the assumed limitations in the model, the reasons for general and special prevention as well as many other special regulations contained in the law code were not taken into account.
机译:法院的管辖权表明,法官判刑是他的个人决定。在司法裁决中,法官没有指定明确的前提或规则,而这些前提或规则是就刑罚大小作出具体决定的基础。在本文中,我们尝试建立基于模糊逻辑的推理模型,从而使行为所产生的原理形式化。通过详细研究《波兰刑法》中包含的法律前提条件,建立了没有法官的逻辑模型。本文的目的是使用数学工具对法律运作的规则和原则进行形式化分析。我们的研究结果将表明,在对《刑法》所载前提进行深入分析的基础上,我们建立的模型是否能够提供与司法判决类似的结果。实际上,建议的推理模型还可以帮助没有经验的法官做出决策。由于模型的假定限制,未考虑一般预防和特殊预防的原因以及法律法规中包含的许多其他特殊规定。

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