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Order Degree Evaluation of Information System Based on Improved Structural Entropy

机译:基于改进结构熵的信息系统有序度评估

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摘要

To solve the problem that available methods of order degree evaluation ignore the heterogeneous information interactions between subsystems, an improved method of order degree evaluation, based on structural entropy, is proposed from the perspective of heterogeneous interactions between subsystems. A case study is proposed to test our model, and order degree under the two scenarios is contrasted. Result shows that directed information flow increases timeliness of information and decreases accuracy of information, which is repeatedly verified in practice. The proposed model, which is more in line with the actual structure of information system, not only further improves order degree evaluation in theory, but also provides operational method to order degree evaluation in real-world information systems.
机译:为解决现有的顺序度评估方法忽略子系统之间异构信息交互的问题,从子系统之间的异构交互角度出发,提出了一种基于结构熵的改进的顺序度评估方法。提出了一个案例研究来测试我们的模型,并比较了两种情况下的订购程度。结果表明,定向信息流增加了信息的及时性,降低了信息的准确性,这在实践中得到了反复验证。所提出的模型与信息系统的实际结构更加吻合,不仅在理论上进一步改善了订单度评估,而且为实际信息系统中的订单度评估提供了操作方法。

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