Modular Clustering Method Based on Rough Set and Application
Quang Jia-qing · Machine Design and Research · 2011
The product design and customization level were indicated as the bottleneck of product life cycle.To deal with the difficulty of modeling,complexity of computing,uncertainty and fuzziness of evaluation data in the conventional module recognition method,a module clustering recognition method based on rough set was proposed.The computing process of evaluation data based on roughset theory is more objective because it doesn't need any subjective priori information;the data form of upper and lower limit(set) can make clustering result more precision.Express evaluation data as rough numbers for clustering analysis,the module recognition was achieved based on the upper and lower limit threshold in the clustering diagram.A case study of RMM2-250 molded case circuit breaker(MCCB) of a certain low-voltage apparatus producer was presented to illustrate the effectiveness of the proposed method.