Fuzzy Relational Clustering Based on Knowledge Mesh and its Application
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 user’s needs. Finally the example shows that the method is effective.
Elwin Mao and Linli Xu
R. Z. Yang and H. S. Yan, "Fuzzy Relational Clustering Based on Knowledge Mesh and its Application", Advanced Engineering Forum, Vol. 1, pp. 247-251, 2011