Tracking of random sets is formulated with finite set statistics (FISST).
随机集的跟踪通过有限集统计(FISST)理论来完成。
By comparing rough sets and random sets, we derive the relation between belief function and lower probability.
首先将粗糙集与随机集作了比较，并由此得出了信任函数与下概率的关系。
First we compare rough sets and random sets, and derive the relationship between belief function and lower probability.
首先将粗糙集与随机集作了比较，并由此得出了信任函数与下概率的关系。
In this paper, the approximation operators and the random sets, the best parts of the rough sets theory, are studied systematically.
本文对粗糙集理论中最基本的部分——近似算子及随机集进行了较系统的探讨。
Based on random sets theory, false alarms and miss-detections in the background were considered, then, belief measure and its global density of targets were presented.
基于随机集理论，根据虚警及漏测的情况，给出了目标的信任测度及其全局密度。
The example result shows that the random-sets method is a nice approach to time series analysis.
实例结果分析表明，随机集模型是一种很好的时间序列分析方法。
The example result shows that the random-sets method is a nice approach to time series analysis.
实例结果分析表明，随机集模型是一种很好的时间序列分析方法。
应用推荐