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Quantitative Study of the Administrative Penalty by Applying Markov Model

机译:运用马尔可夫模型对行政处罚进行定量研究

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Over the years, government mainly adopts penalty as a tool in the administrative management, but it lacks scientific management to measure the amount of penalty. This has a negative impact on the reputation of government and management efficiency. Applying Markov chain to resolve the decision problem of the amount of penalty can provide a quantitative basis for the government penalty management. This paper provides a favorable scientific management idea for government administrative management by application research on the city parking charge which is a widespread problem in our country at the present stage.
机译:多年来,政府在行政管理中主要采用刑罚作为工具,但缺乏科学的管理手段来衡量刑罚数额。这对政府声誉和管理效率产生负面影响。应用马尔可夫链来解决罚款金额决策问题,可以为政府罚款管理提供定量依据。本文通过对城市停车收费的应用研究,为政府行政管理提供了良好的科学管理思路,这是现阶段我国普遍存在的问题。

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