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首页> 外文会议>2018 International Conference on Intelligent Systems and Computer Vision >Causal model of performance measurement systems by combining qualitative and quantitative models for robust results
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Causal model of performance measurement systems by combining qualitative and quantitative models for robust results

机译：通过将定性和定量模型相结合来获得可靠结果的绩效评估系统的因果模型

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摘要

Recent research often suggests ideas about quantitative or qualitative causal models of performance measurement systems. We also rely on some works that develop ideas on causal models of SMP. This research has highlighted two approaches in the study of causal models of performance measurement systems: the quantitative and qualitative approach. Indeed, the qualitative models lack precision and the qualitative models are confronted with problems of data collection in hierarchical level deployment. Therefore, it should be noted that the combination of these two methods is very rare or non-existent for the SMPs. Hence the idea of proposing a model that combines the two, because these approach also have certain limits. According to our studies we note a complementarity because to combine these two methods reinforces the richness and the validity of the results.
机译：最近的研究经常提出有关绩效评估系统的定量或定性因果模型的想法。我们还依靠一些对SMP因果模型提出构想的作品。这项研究在绩效评估系统的因果模型研究中重点介绍了两种方法：定量和定性方法。实际上，定性模型缺乏精确性，并且定性模型在分层级别的部署中面临数据收集的问题。因此，应该注意的是，这两种方法的结合对于SMP来说是非常罕见或不存在的。因此提出了将两者结合起来的模型的想法，因为这些方法也有一定的局限性。根据我们的研究，我们注意到一种互补性，因为将这两种方法结合起来可以增强结果的丰富性和有效性。

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