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Dynamic Identifying Official Key Competences Based on Rough Sets and Information Entropy Theory

机译：基于粗糙集和信息熵理论的动态关键官员胜任力识别

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摘要

Analyzes the deficiency of conventional method of competence model establishment and introduces the rough sets theory and information entropy theory. On this basis, the dynamic identifying based on rough sets and information entropy for the official key competences is studied. An official competence measurement indicator system is established, by which the relations among competence dimensions and competence elements are analyzed. Rough sets and information entropy are taken appliance to attributes reduction and weight coefficients calculation. As a consequence, actual data of officials in politics and law department of certain city are taken as samples to demonstrate the model which is established in this paper.The result of demonstration illustrates the validity of the algorithm proposed and the practicability of the model.
机译：分析了常规能力模型建立方法的不足，介绍了粗糙集理论和信息熵理论。在此基础上，研究了基于粗糙集和信息熵的官方关键能力动态识别方法。建立了正式的能力测评指标体系，分析了能力维度与能力要素之间的关系。粗糙集和信息熵被用于属性约简和权重系数计算。因此，以某市政法部门官员的实际数据为样本，对本文建立的模型进行了论证。论证结果表明了所提算法的有效性和实用性。

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