关键词: 不确定, 模糊粗糙集, 支持向量机, 映射模型

Abstract:

Information driven by uncertain user requirements usually has semantic, missing and redundant information. It can reduce accuracy of the mapping model from user requirements to product design parameters. In response to these problems, a fusion mapping model of fuzzy rough set+SVM was established. Fuzzy rough set was used to do granulation for quantified user data to fill missing information. The attribute reduction of rough set was used to eliminate redundant information and reduce space dimensions of input information. Then, SVM was used to construct the mapping model from user requirements to design parameters. Finally, the fusion model was applied to injection molding machine to verify its applicability.

Key words: uncertain, fuzzy rough set, SVM, mapping model