In this paper, the mathematical foundation study of rough sets and the study of two general rough sets models are mainly researched.
本文主要进行了粗糙集的数学基础研究，与程度粗糙集和变精度粗糙集两个广义粗糙集模型的探讨。
A modeling strategy of rolling optimal scheduling based on rough sets theory and feedback correction of general control is presented.
提出一种基于粗集理论和广义控制的滚动优化调度建模策略。
Based on rough sets and evidence combining theory, a general method of extracting the extension decision rules of probability information system is given.
使用粗糙集和证据合成理论中的方法，给出了获取概率信息系统的扩展决策规则集的一般方法。
To propose a modeling strategy of rolling horizon scheduling based on a rough sets theory and the general control idea.
提出了一种基于粗集理论和广义控制思想的滚动调度建模策略。
Based on a rough sets theory and the general control idea, a modeling strategy of rolling horizon scheduling under dynamic processing environment is presented.
基于粗集理论和广义控制思想，提出了一种动态加工环境下滚动调度建模策略。
Based on a rough sets theory and the general control idea, a modeling strategy of rolling horizon scheduling under dynamic processing environment is presented.
基于粗集理论和广义控制思想，提出了一种动态加工环境下滚动调度建模策略。
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