To the dynastic demands in-group formation in situation assessment, a method based on S-rough set theory is put forward.
针对目标编群中的动态要求，提出了一种基于S-粗集副集的目标编群方法。
Based on the dual function S-rough set and system law generation, disturb recognition criteria of the open-loop control is given.
利用函数单向s -粗集对偶，结合系统规律生成，提出了开环控制系统的扰动识别准则，并给出了开环控制系统扰动识别的结构图和具体实现过程。
By using function S-rough set, this paper gives discussion of law generation and law separation, and put forward the theorem of law separation.
利用函数s -粗集，给出规律生成，规律分离的讨论，提出规律分离定理。
Considering dynamic property of the set and statistical informational in knowledge base, this paper puts forward one direction S-probability rough sets.
既考虑集合的动态特性，又考虑知识库中的统计信息，提出了单向s -概率粗集。
Skowron s differential matrix theory makes the reduce processes of rough set more simple.
对原算法的误差矩阵的计算进行了改进，提出了一种简单的误差控制方法。
This paper expatiates the mathematics structures and characteristics of intuitionistic fuzzy S-rough-set and the assistant set of intuitionistic fuzzy S-rough-set.
阐述直觉模糊S-粗集和直觉模糊S-粗集副集的数学结构与特性。
Due to the randomness and uncertainty of congestion prediction data, an algorithm based on rough set and D-S theory is proposed in this paper.
针对空中红外小目标难以识别且可信度低的问题，本文结合已有的识别算法，利用非平等D-S证据融合设计了一种小目标识别方法。
Due to the randomness and uncertainty of congestion prediction data, an algorithm based on rough set and D-S theory is proposed in this paper.
针对空中红外小目标难以识别且可信度低的问题，本文结合已有的识别算法，利用非平等D-S证据融合设计了一种小目标识别方法。
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