Text categorization rule extraction based on fuzzy decision tree;

A web document categorization rule extraction based on chaos particle swarm optimization combining linkage clustering;

Study on Attributions Selection and Rule Extraction of Data Mining for Classification Based on Neural Networks;

Raw cotton yarn tenacity's rule extraction based on Rough Set theory;

Data enrichment and rule extraction based on approximate attribute reduction in the context of rough sets;

Algorithm on rule extraction based on rough set and neural network theory;

An rules extraction algorithm of decision tree based on rough set theory;

An algorithm of minimum rules extraction based on rough set theory;

Cloud model based rules extraction algorithm;

The method is studied in two aspects: decision rules acquisition and class forecast.

This paper studies the knowledge rules acquisition methodology based on Rough set for fault diagnosis.

Incremental rule acquisition method based on genetic algorithm and rough set theory;

The purpose of this study is to present a method of driving rule acquisition using variable precision rough set theory.

With the purpose of tackling problems such as uncertainty and mass rules of Knowledge in substation fuzzy expert systems,a effective method for knowledge denotation and rule acquisition is proposed by using colored FPN models.