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The attribute reduction based on information entropy is different to that based on positive region in inconsistent information system. The problem of discernibility matrix in algebra view is analyzed, and an new discernibility matrix based on information entropy is proposed in this paper. This algorithm considers whether the objects compared are consistent, analyses in detail the degree of inconsistency...
The attribute reduction based on information entropy is different to that based on positive region in inconsistent information system. The problem of discernibility matrix in algebra view is analyzed, and an new discernibility matrix based on information entropy is proposed in this paper. This algorithm considers whether the objects compared are consistent, analyses in detail the degree of inconsistency...
High dimension and hard describing of cluster are the primary problems of clustering algorithm based on vector model. The conditional probability combined with rough set is introduced in this paper, and a information retrieval model based on fuzzy rough set is proposed, finally its document clustering algorithm is designed in detail. Especially the description and updating of cluster is studied in...
The relation among data objects is not strictly symmetric and transitive in data grid environment, so it is rather difficult to compare their relativity. Combining membership with rough set and introducing them into information retrieval, this paper proposes a fuzzy rough set retrieval model. First the relationship between two classes is considered sufficiently to construct similarity relationship...
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