Based on FRM model, a rough neural network suitable for decision system modeling is proposed in this paper. It can implement smooth fuzzy partition of universe ...

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

Product configuration design is of critical importance in design for mass customization. This paper will investigate two important issues in configuration ...

On the basis of fuzzy rough data model (FRDM), a method to construct rough neural network is proposed. By adaptive Gaustafason-Kessel (G-K) clustering ...

This paper presents a methodology to biological image classification through a Rough-Fuzzy Artificial Neural. Network (RFANN).

We introduce a fuzzy rough granular neural network (FRGNN) model based on the multilayer perceptron using a back-propagation algorithm for the fuzzy ...

Rough neural network modeling based on fuzzy rough model and its application to texture classification · Dongbo ZhangYaonan WangHui-xian Huang. Computer ...

In this paper, a new method is described to construct rough neural networks. On the base of rough set model, we present a method to develop rough neural ...

Abstract—This paper presents a methodological approach for developing image classifiers that work by exploiting the technical potential of both fuzzy-rough ...

Jan 6, 2020 · based on the fuzzy rough set theory through the sum of fuzzy degrees of affiliation of the training set samples and the weight vector of the ...