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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Using Ontology and Rough Set Building e-Commerce Knowledge Management System
verfasst von : Guo Li, QiHua Peng
Erschienen in: Advances in Computer Science, Intelligent System and Environment
Verlag: Springer Berlin Heidelberg
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The variable precision rough-set model can be thought of as a generalization of the rough-set model. Rough set theory expresses vagueness not by means of membership, but by employing a boundary region of a set. The design of ontology can be based on classificatory knowledge or generic knowledge. The paper proposes using ontology and rough set to build the knowledge management model in e-commerce recommendation system, and to suffice the needs of theory and application in E-commerce recommendation system, and the experiments shows the CPU Time in the attribute numbers, indicating that ontology is superior to rough set in building the e-commerce knowledge management system.