基于随机集理论(Random Set Theory,RST)理论,应用一种群智能算法--粒子群算法(Particle Swarm Optimization,PS...
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... probability interpretation）； （2）广义化Bayes理论（Generalized Bayesian theory）解释； （3）随机集理论（Random sets）模型解释； （4）可传递信度模型（Transferable belief model，简称TBM） 解释； 【注】第(1)~(3)这三种解释都以“概率理论”为基...
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...tions(随机计算与应用概述) Large deviations for stochastic processes(随机过程的大偏差) Theory of random sets.(随机集理论) ..
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基于随机集理论 Random Set Theory ; RST
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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。
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.
随机集的跟踪通过有限集统计(FISST)理论来完成。
Tracking of random sets is formulated with finite set statistics (FISST).
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。
In this paper, the approximation operators and the random sets, the best parts of the rough sets theory, are studied systematically.
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