Gray System Theory is a new method, which has been used to research uncertain problem lack of data and information.
灰色理论是一种研究少数据、贫信息不确定性问题的新方法。
The algorithm handles uncertain information with Bayesian inference, giving a quantitative evaluation of the security state of a system and eliminating false alarms effectively.
算法用贝耶斯推理处理不确定信息，量化地评估系统安全状态，并且有效地消除误报。
Moreover, the product coding and configuration system based on information classifying was developed by using the theory of Rough Set to deal with uncertain customer demand.
进而，据此开发了一个基于信息分类的产品编码与配置系统，并提出了利用粗糙集的相关理论与方法处理配置过程中的客户模糊需求信息的方法。
In incomplete information system, objects of the tolerance class and maximal consistent block in the attribute reduction algorithm based on discernibility matrix are uncertain.
在不完备信息系统基于差别矩阵的属性约简算法中，相容类和最大相容类中的对象具有不确定性。
To build life prediction system of coatings requires using gray system which suit for dealing with the case that contains a great number of uncertain information.
因而涂层保护寿命预测系统的建立，需要在包含大量不确定信息的灰色状态下进行推理。
Due to the ubiquity of missing information uncertain systems, Grey system theories are more prosperous in the future.
由于贫信息不确定性系统的普遍存在，决定了这一新理论具有十分广阔的发展前景。
Compared accounting information with enterprise fund value information, certain difference exists, for there being various uncertain factors in the accounting information system.
受会计信息系统内外不确定性因素的影响，作为显信息的会计信息与企业资金运动的价值方面的潜信息相比，必然存在一定的差异。
Data mining in incomplete information system is a hard problem but inevitable in uncertain decision.
不完备信息下的数据挖掘是一个难题，但它在实际决策中是不可避免的。
Data mining in incomplete information system is a hard problem but inevitable in uncertain decision.
不完备信息下的数据挖掘是一个难题，但它在实际决策中是不可避免的。
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