Fuzzy Relational Clustering Based on Knowledge Mesh and its Application

Ren Zi Yang; Hong Sen Yan

doi:10.4028/www.scientific.net/AMM.422.209

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 422Fuzzy Relational Clustering Based on Knowledge...

Fuzzy Relational Clustering Based on Knowledge Mesh and its Application

Abstract:

A selection method of knowledge meshes based on fuzzy relational clustering is proposed. Considering the perfection degree, the matching degree among knowledge meshes and the level frame of knowledge mesh, the similarity function is defined. Its properties are proved. The similarity values between knowledge meshes are regarded as clustering data. The fuzzy relational matrix is constructed and decomposed. The knowledge meshes with high membership in each class are regarded as referenced knowledge meshes. Or the knowledge meshes in the class are further chosen according to users needs. Finally the example shows that the method is effective.

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Periodical:

Applied Mechanics and Materials (Volume 422)

Pages:

209-214

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.422.209

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Online since:

September 2013

Authors:

Ren Zi Yang*, Hong Sen Yan

Keywords:

Fuzzy Relational Clustering, Knowledge Mesh, Matrix Decomposed, Similarity

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* - Corresponding Author

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