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.
应用推荐