Paper Title:
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 user’s needs. Finally the example shows that the method is effective.

  Info
Periodical
Chapter
Chapter 3: Computational Methods for Engineering
Edited by
Elwin Mao and Linli Xu
Pages
247-251
DOI
10.4028/www.scientific.net/AEF.1.247
Citation
R. Z. Yang, H. S. Yan, "Fuzzy Relational Clustering Based on Knowledge Mesh and its Application", Advanced Engineering Forum, Vol. 1, pp. 247-251, 2011
Online since
September 2011
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