定义了区间数据包络分析(DEA)模型。
An interval data envelopment analysis (DEA) model was first defined.
符号聚类是对传统聚类的重要扩展，而区间数据是一类常见的符号数据。
Clustering for symbolic data is an important extension of conventional clustering, and interval representation for symbolic data is often used.
考虑了在带区间数据的不确定网络中，最小风险和模型以及最小最大风险模型下的斯坦纳树问题。
Based on the models of minimum risk sum and minimum maximum risk, this paper is concerned with the minimum Steiner tree problems in uncertain networks with interval data.
在许多工程实践问题中，区间回归分析是处理区间数据的一个重要手段。文献中用神经网络实现的区间回归分析都假定给定的训练数据是无噪的。
A method by means of neural networks for interval regression analysis hasbeen proposed on the assumption that the given training data are totally "good data".
该算法利用改进的二叉区间树有效组织中间数据，降低计算的复杂度。
Besides, an enhanced interval tree is used to manage and organize the intermediate data so as to reduce the computation complexity.
点和区间混合型维度数据集是空间数据库系统和GIS中重要的数据对象。
Data sets of point and interval dimensions are important in spatial database system and GIS.
树是空间搜索的动态索引树，它的结构是利用多个维中的区间来表示空间数据对象，它是矩形访问的一种有效方法。
R-tree is a dynamic index tree of space search. Its structure use multi-dimensional region to express spatial data object. R-tree is a valid way to visit rectangle.
符号数据分析是一种新兴的数据挖掘技术，区间数是最常用的一种符号数据。
Symbolic data analysis is a new data mining technology and interval number is a most important type of symbolic data.
符号数据分析是一种新兴的数据挖掘技术，区间数是最常用的一种符号数据。
Symbolic data analysis is a new data mining technology and interval number is a most important type of symbolic data.
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