Aug 28, 2009 · Based on bottom-up fuzzy rough data analysis, a new rough neural network decision-making model is proposed.

Based on bottom-up fuzzy rough data analysis, a new rough neural network decision-making model is proposed. Through supervised Gaustafason–Kessel (G–K) ...

Aug 28, 2009 · Abstract Based on bottom-up fuzzy rough data analysis, a new rough neural network deci- sion-making model is proposed.

Rough Neural Network Based on Bottom-Up Fuzzy Rough Data Analysis. Dongbo Zhang, Yaonan Wang. Rough Neural Network Based on Bottom-Up Fuzzy Rough Data Analysis.

On the basis of fuzzy rough model (FRM), a method to construct rough neural network FRM_RNN_M is proposed. By means of adaptive Gaustafason–Kessel (G–K) ...

摘要. Based on bottom-up fuzzy rough data analysis, a new rough neural network decision-making model is proposed. Through supervised Gaustafason–Kessel ...

Based on bottom-up fuzzy rough data analysis, a new rough neural network decision-making model is proposed that overcomes the defects of conventional ...

As an effective tool for processing uncertainty information, rough set theory approximates a target concept with a pair of precise sets.

Fuzzy-rough cognitive networks (FRCNs) are interpretable recurrent neural networks, primarily designed for solving classification problems.

Research and Development of Granular Neural Networks · Rough Neural Network Based on Bottom-Up Fuzzy Rough Data Analysis · Fuzzy Rough Model Based Rough Neural ...