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首页> 外文会议>International Conference on New Media Studies >Design of Decision Support System with C4.5 Algorithm Methods in Determining Results Vaname Shrimp Cultivation
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Design of Decision Support System with C4.5 Algorithm Methods in Determining Results Vaname Shrimp Cultivation

机译：用C4.5算法确定结果虾名的决策支持系统设计。

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Water quality has a very important role in the success of shrimp farming. Water as a living medium for shrimp, has a direct effect on the health and growth of shrimp. Water quality determines the existence of various types of organisms in the pond ecosystem, both for shrimp and other biota. Water quality that is far from the optimal value can cause cultivation failure, while optimal water quality can support shrimp growth. This study aims to build a decision support system to help companies manage water quality to get good shrimp farming results. The attributes used are water height, salinity, DO, pH, temperature, alkalinity and target size attributes of shrimp. The data used were 93 data partitioned into 76 training data and 17 testing data. Based on the classification results using the C4.5 algorithm, accuracy was 76.47%, precision was 72.72% and recall was 88.88%. From this study it was proven that the decision support system with the C4.5 algorithm can be used to determine the results of vaname shrimp farming.
机译：水质对虾养殖的成功具有非常重要的作用。水作为虾的生活媒介，直接影响虾的健康和生长。水质决定了池塘生态系统中虾和其他生物群中各种类型生物的存在。偏离最佳值的水质可能会导致养殖失败，而最佳水质却可以支持虾的生长。这项研究旨在建立一个决策支持系统，以帮助公司管理水质以获得良好的虾类养殖成果。使用的属性是虾的水高，盐度，DO，pH，温度，碱度和目标大小属性。使用的数据是93个数据，分为76个训练数据和17个测试数据。根据使用C4.5算法的分类结果，精度为76.47％，精度为72.72％，召回率为88.88％。从这项研究中证明，具有C4.5算法的决策支持系统可用于确定香草虾养殖的结果。

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