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RoughSetTheoryUsingVB
- 基于粗糙集理论的属性约简算法的VB实现（PDF），来源于中国期刊网的论文-Rough Set Theory Using VB
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- 本文提出一种粗糙集理论和动态前馈神经网络相结合的神经网络构造方法。充分发挥了粗糙集理论和神经网络的优势，弥补了各自的缺点。并应用于实际工业过程，在乙烯装置裂解炉燃料气热值控制中取得了良好的应用效果。-This paper presents a rough set theory and dynamic feedforward neural networks combined neural network constructed. Give full play to the rough set th
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- The basis of MATLAB applications and rough set theory based on knowledge (PDF)
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- A simple method of data classification using rough set theory is described, as implemented by the tools in Alexander Ohra s software application ROSETTA
ReportDecisionDeck-DEIM-URV
- Based on the rough set theory and its reduction methods, a MATLAB interface is written and included in the RSDA Toolbox
rough-RBFcucaoji
- 粗糙集理论改进的RBF神经网络，适用性比较强，对RBF的优化有一定的作用-Rough set theory improved RBF neural network, strong applicability of optimization RBF has a certain role
粗糙集属性约简算法综述
- 属性约简是粗糙集理论中最核心的问题。文章阐述了基于信息熵、可辨识矩阵、遗传算法、 Johnson 等粗糙集属 性约简算法流程，指出了粗糙集属性约简算法的现有问题及发展趋势，促进粗糙集属性约简的研究进一步发展。(Attribute reduction is the most important problem in rough set theory. In this paper, the rough sets based on information entropy, discernibilit