A method of the knowledge acquisition using rough set knowledge reduction algorithm based on PSO

An variable precision rough set (RS) knowledge acquisition based on discrete particle swarm optimization (DPSO-VPRS) are proposed to solve rough set is lack of the ability of anti-jamming, which is used the information entropy is considered as a suitable function in discrete particle swarm algorithm and the attribute dependent degree of variable precision rough set is optimized, and make the classification rules more reliable in the case of noisy data. The study of knowledge acquisition method based on DPSO-VPRS algorithm which is applied into the grate-kiln system in order to acquire knowledge. The mass production process data is deeply analyzed, and find the key factor which determined the finished pellets quality, then attain manufacturing rule of production process control. The results showed that the grate-kiln expert method is effective and has great value as a reference to the palletizing production process control.