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Clonal C-Fuzzy Decision Tree (C 2 FDT) for Workforce Forecast

机译:劳动力预测的克隆C模糊决策树(C 2 FDT)

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Effectively forecasting the demand of future workforce in its size and mix play a critical role in the success of anorganization. Previously, several approaches have been proposed to forecast workforce demand in real time.However, the effectiveness in predicting the optimal workforce under volatile customer demand has not yet beenfully addressed. In this respect, this paper presents a Clonal C-Fuzzy Decision Tree (C 2 FDT) for forecasting theoptimal size and mix of a workforce. In order to investigate the efficacy of the proposed methodology, ahypothetical case of a courier service is presented.
机译:有效地预测未来劳动力的规模和组合需求,对于成功实现员工培训至关重要。 组织。以前,已经提出了几种方法来实时预测劳动力需求。 然而,在变化的客户需求下预测最佳劳动力的有效性尚未得到证实。 充分解决。在这方面,本文提出了一种克隆的C模糊决策树(C 2 FDT)来预测 最佳的规模和员工队伍。为了调查所提出方法的有效性, 提出了一个假设的快递服务案例。

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