在传统模糊c -均值聚类算法的基础上，提出了一种新型区间值数据模糊聚类算法。
Based on the traditional fuzzy C-means clustering algorithm, a new fuzzy C-means clustering algorithm for interval data clustering is proposed.
对参数特征值估计和可信区间的诠释都是得出样本数据推论的路径。
Point Estimates of parameters and Confidence Interval Interpretation are both means for making inferences about sample data.
防空重点掩护目标的确定，运用集值统计法对专家给出的区间指标评估数据进行处理。
The key covered object in air defense is ensured; the collected value statistic method is used to deal with the interval index assessment data which is given by expert.
与传统的数据挖掘方法相比较，区间值聚类的数据挖掘模型更加高效、准确、符合实际。
By comparison with the traditional method for data mining, this method is more effective, more accurate, and more accordant to practice.
讨论了区间值关系数据库上模糊关联规则的挖掘算法与预测方法。
Mining algorithm and prediction method of fuzzy association rules are discussed in this paper.
然而，就像预测的数据有个置信区间，所以和未来的真实情况，预测值有一个较大的不确定性。
However, as shown by the confidence interval around your forecasted data, there is usually a large degree of uncertainty associated with the true future values.
然而，就像预测的数据有个置信区间，所以和未来的真实情况，预测值有一个较大的不确定性。
However, as shown by the confidence interval around your forecasted data, there is usually a large degree of uncertainty associated with the true future values.
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