Intelligent information retrieval based on the variable precision rough set model and fuzzy sets

Authors:
Ming He;Bo-qin Feng
Affiliations:
Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China;Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China
Venue:
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Year:
2005

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Abstract

In this paper, an information retrieval methodology and model based on variable precision rough set model (VPRSM) are proposed through combining rough sets and fuzzy sets. In the methodology, the documents are represented as fuzzy index terms, the queries are defined with a rough set and that each document has an approximation in this set. The experimental results compared with vector space model (VSM) are presented.