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A Case Study: Black African Countries Human Resources Management

机译:案例研究:非洲黑人国家人力资源管理

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This paper represents a case study of Black African Countries Human Resources Management and a Hidden Markov Model (HMM) based prognosis method was used to predict the educational system policy state of those countries. Not only a HMM allows modeling the time duration of the hidden state but is also capable of prognosis. The estimated state duration probability distributions can be used to predict the remaining useful life of the any system. In order the characterized the deteriorating state of system, the aging factor that discounts the probability of staying while increasing the probabilities of transition to less healthy state was introduced. At least the grey model was used to compute the expected residual life (ERL). The educational system policy behavior can be predicted with its health prognosis.
机译:本文代表了一个非洲黑人国家人力资源管理的案例研究,并使用基于隐马尔可夫模型(HMM)的预测方法来预测这些国家的教育系统政策状况。 HMM不仅可以对隐藏状态的持续时间进行建模,而且还可以进行预后。估计的状态持续时间概率分布可用于预测任何系统的剩余使用寿命。为了表征系统的恶化状态,引入了衰老因子,该衰老因子降低了停留的可能性,同时增加了向不健康状态过渡的可能性。至少使用灰色模型来计算预期剩余寿命(ERL)。教育系统政策行为可以通过其健康预测来预测。

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