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The fuzzy Delphi method via fuzzy statistics and membership function fitting and an application to the human resources

机译：基于模糊统计和隶属度函数拟合的模糊德尔菲法及其在人力资源管理中的应用

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摘要

A new fuzzy Delphi method is proposed. The method employs the fuzzy statistics and technique of the conjugate gradient search to fit membership functions. Membership functions besides triangles manly be derived for the fuzzy forecasts. A procedure termed as stabilization rather than convergence of the iterative interval-Vader surveys is utilized, in which the α-level set of the fuzzy forecasts is used. The testing of stability of the process is conducted on the fuzzy forecasts between two consecutive iterations instead of within each iteration. An application of this method to the problem of managerial talent assessment for a company located in Taiwan and he obtained results are provided.
机译：提出了一种新的模糊德尔菲方法。该方法采用模糊统计和共轭梯度搜索技术来拟合隶属度函数。除三角形外，隶属函数还可以用于模糊预测。利用被称为稳定而不是迭代间隔-Vader调查的收敛的过程，其中使用了模糊预测的α级集。在两个连续的迭代之间而不是在每个迭代中，对模糊预测进行过程稳定性的测试。提供了该方法在台湾某公司管理人才测评中的应用效果。

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