dynamic increment meaning in Chinese
动力增量
Examples
- 2 . in the dynamic increment database , data mining models of consistent and inconsistent decision system are formulated
在增量式动态数据库中，提出了相容性和不相容性决策系统的数据挖掘模型。 - It is proposed that the fixed capacity investment and cargo discharge regression forecasting model and the optimal average information customer distribution model can be used to predict the cargo o - d distribution . the capacity limitation dynamic increment comprehensive network model can be applied to the prediction of the channel cargo transportation discharge and the turnover discharge in the main courses . the main courses network plan grade can be verified by the total cost method , and according to which the economic rationality of constructing different grade channels can be evaluated
本文开展了平原水网地区航道网规划方法的研究，提出了采用固定资产投资完成额与货运量回归预测模型；平均信息量用户最优分布模型预测货物o - d的分布；容量限制动态增量综合网络配流模型预测干线航道货物运输量和周转量；采用总费用法论证干线航道网规划等级，据此评定建设不同等级航道的经济合理性。 - This paper recurred to the basic theory of rough set of data mining and under the direction of the frame of intelligent decision , the main theories include i ) the different methods of data mining on the base of rough set are used to deal with typical decision system namely consistent decision system and inconsistent decision system in order to carry through data reduction and rule distilment ; ii ) in the environment of dynamic increment database , the methods of data reduction to deal with the original data and increment data are discussed in the consistent and inconsistent decision system ; iii ) the method of data mining of rough set is analysized to treat with the attributes with priority ; iv ) on the base of basic rough set theory , the data analysis methods of amalgamation of rough set theory ; v ) and also the pre - disposal method to database is analysize
本文从系统工程进行决策分析的角度出发，借助数据挖掘技术中粗糙集的基本理论，在智能决策框架的指导下，研究了基于数据挖掘的智能决策理论及方法。主要理论包括：如何利用粗糙集对典型的决策系统即相容性决策系统和不相容性决策系统运用不同的数据挖掘方法进行有效的数据约减和规则提取；在增量动态的数据库环境下讨论了在典型决策系统中对原始数据和增量数据进行数据约减的方法；分析了带有优先权属性的粗糙集数据挖掘方法；以基本粗糙集为基础探讨了粗糙集扩展模型的数据分析方法；研究了粗糙集数据预处理方法。