Cluster-based Information Retrieval with Tolerance Rough Set Model
Tu-Bao Ho, Saori Kawasaki, Ngoc Binh Nguyen · International Journal of Fuzzy Logic and Intelligent Systems · 2002
The objectives of this paper are twofold. First is to introduce a model for representing documents with semantics relatedness using rough sets but with tolerance relations instead of equivalence relations (TRSM). Second is to introduce two document hierarchical and nonhierarchical clustering algorithms based on this model and TRSM cluster-based information retrieval using these two algorithms. The experimental results show that TRSM offers an alterative approach to text clustering and information retrieval.