AIJan 13, 2017
Fuzzy Clustering Data Given in the Ordinal Scale
arXiv:1701.03571v124 citations
Originality Synthesis-oriented
AI Analysis
This addresses clustering challenges for data with ordinal linguistic variables, but appears incremental as it builds on existing fuzzy clustering methods.
The authors tackled the problem of clustering multidimensional data described by linguistic variables in an ordinal scale, proposing a fuzzy clustering algorithm and confirming its efficiency.
A fuzzy clustering algorithm for multidimensional data is proposed in this article. The data is described by vectors whose components are linguistic variables defined in an ordinal scale. The obtained results confirm the efficiency of the proposed approach.