Study of Generalized Weak Obscure Similarity Relationship and Knowledge

Abstract:

On the foundation of discovery of the traditional incomplete information system, this paper introduces ontology semantic similarity to improve the traditional similarity relationship, and eliminate the inaccuracy of discovery of knowledge brought by partial transmission. Based on the original model, this paper proposes a more obscure similarity relationship under the improvement of incomplete information system. Furthermore, this paper also advocates a knowledge discovery algorithm based on the combination of weak similarity relationship and attribute value similarity, which not only considers the VPRS of existing null semantics based on the weak similarity relationship and attribute value similarity, but also explores and studies the knowledge discovery method of non-existing null incomplete information system.

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 3678-3681
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.3678
• Online since: March 2014
• Authors: Xue Ding*, Hong Hong Yang
• Keywords: Generalized Weak Obscure Similarity Relationship, Knowledge Discovery, Similarity

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