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。
Gray System Theory is a new method, which has been used to research uncertain problem lack of data and information.
该方法为小样本、贫信息的科研项目风险的评价问题提供了可行的数学分析工具。
The method provides a tool of analysis on risk evaluation for such projects with limited number of samples and amount of information.
鉴于这种原因，本文考虑火灾损失为贫信息不确定性、预测分析模糊的方法问题。
This article consider the method question that the fire damage for the poor information is not determined in view of this factor.
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。
Due to the ubiquity of missing information uncertain systems, Grey system theories are more prosperous in the future.
本文将单点的变形预测模型扩展为多点的变形预测模型，建立了贫信息条件下的多点预测模型。
This paper extends the single deformation prediction model into multi point model. The multi point prediction model with poor data information is established and the practical example is analyzed.
灰色系统理论是一种研究少数据、贫信息不确定性问题的新方法，它有着简便、易学、准确性和可行性高的特点，因此应用领域十分宽广。
Gray theory is a new method for researching little data, uncertainty and poor information. It has features that are simple, easy to learn, high accuracy and feasibility. It is applied very broad.
贫金属星的中子俘获元素丰度与恒星的形成和演化密切相关，它为研究星系形成早期的历史背景和化学演化提供了重要信息。
The abundances of neutron-capture elements in metal-poor stars, tightly related to the star formation and evolution, provide important clues to the chemical evolution of the Galaxy.
分析了数据库中“贫”信息数据的特点，以及“贫”信息数据挖掘问题的要求。
The characteristics of "poor" information in database and the requirement of "poor" information data mining are analyzed.
分析了数据库中“贫”信息数据的特点，以及“贫”信息数据挖掘问题的要求。
The characteristics of "poor" information in database and the requirement of "poor" information data mining are analyzed.
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