基于物元可拓法的培训机构人员流失风险预测

为了帮助中小型教育培训机构解决人员流失的问题,减少人员流动带来的经济损失、降低企业运营成本,建立了基于熵权法及改进物元可拓法的培训机构人员流失风险预测方法,在经典物元可拓模型的基础上,提出"极值最优点"的改进物元可拓模型,可为物元可拓模型中的极端经典域构建不同的关联函数,取得了关联度的最优拟合效果,并以A教育培训机构为例验证了改进物元可拓法的可行性。结果表明,应用改进物元可拓法研究人员流失问题可以从风险管理的角度帮助培训机构解决人员流失问题。研究方法为教育培训机构提高人力资源管理水平,加强组织管控能力,降低企业成本,增强企业盈利能力提供了新的思路。

Staff turnover risk prediction of training institutions based on matter-element extension method

To help small and medium-sized education training institutions to solve the problem of staff turnover, reduce the economic consequences of the flow, and reduce business operating costs, based on the entropy weight method and improved matter-element extension method of training personnel loss risk prediction method is established. On the basis of the classical matter-element extension model, "extreme value most advantages" to improve the matter-element extension model is put forward. In the extreme classical field matter-element extension model, different correlation functions are built in order to obtain optimal fitting effect of the correlation. The feasibility of improved matter-element extension method is verified by A education and training institution as an example. Results show that the problem of brain drain is studied from the perspective of risk management by improved matter element extension method. To improve the level of human resources management, strengthen the ability to control the organization of this difficult problem education and training institutions has been given new ideas.