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Customers Satisfaction in Shipping Enterprises of Maritime Cabotage with Artificial Intelligence and Multicriteria Decision Analysis Methods

机译:与人工智能和多轨道决策分析方法的海洋码头运输企业的满意度

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Prediction of customers satisfaction effects strategic planning, defining the market share of the enterprise. In shipping, measurements of satisfaction are very difficult to elaborate, thus satisfaction's prediction provides valuable information. Previous research in the field used techniques of multicriteria analysis, data mining and analytical-synthetical preference models. This research aims to define the most effective method to predict satisfaction, between techniques of data mining, rough sets, neural networks and multcriteria decision analysis.
机译:预测客户满意度效果战略规划,定义企业的市场份额。在运输中,满足的测量非常难以详细说明,因此满足的预测提供了有价值的信息。以前的多铁型分析技术使用技术,数据挖掘和分析综合偏好模型。该研究旨在定义最有效的方法,以预测满意度,在数据挖掘,粗糙集,神经网络和多纤维判决分析的技术之间。

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