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A Fuzzy Logic Based Machine Learning Tool for Supporting Big Data Business Analytics in Complex Artificial Intelligence Environments

机译:基于模糊逻辑的机器学习工具,在复杂的人工智能环境中支持大数据业务分析

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Business analytics use techniques from data science, data mining, artificial intelligence (especially, machine learning), mathematics and statistics to gain insights and understanding on the performance of business processes. The gained insights and knowledge help driving the business planning. As employees play important roles in the business process, having a tool to classify and predict their wage levels is desirable. Such classification and prediction enables the public or private sector to offer competitive wages for recruiting and retaining employees. In this paper, we present a tool for classifying and predicting wage levels. It incorporates fuzzy logic into a machine-learning tool to support business analytics on big data. Evaluation results show the applicability of our tool for classification and prediction of wages levels in the business world, which in turn supports business analytics in complex artificial intelligence environments.
机译:业务分析使用来自数据科学,数据挖掘,人工智能(尤其是机器学习),数学和统计的技术来获得对业务流程性能的见解和理解。所获得的见识和知识有助于推动业务计划。由于员工在业务流程中扮演着重要角色,因此需要一种工具来分类和预测他们的工资水平。这种分类和预测使公共部门或私营部门能够提供有竞争力的工资来招募和留住员工。在本文中,我们提出了一种用于分类和预测工资水平的工具。它将模糊逻辑整合到机器学习工具中,以支持大数据业务分析。评估结果表明,我们的工具可用于商业世界中工资水平的分类和预测,进而支持复杂人工智能环境中的商业分析。

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