Article ID: | iaor20002930 |
Country: | United Kingdom |
Volume: | 37 |
Issue: | 11/12 |
Start Page Number: | 95 |
End Page Number: | 100 |
Publication Date: | Jun 1999 |
Journal: | Computers & Mathematics with Applications |
Authors: | Esogbue A.O., Lui Baoding |
Keywords: | optimization |
In this paper, we define a validity measure for fuzzy criterion clustering which is a novel approach to fuzzy clustering that in addition to being non-distance-based, addresses the cluster validity problem. The model is then recast as a bilevel fuzzy criterion clustering problem. We propose an algorithm for this model that solves both the validity and clustering problems. Our approach is validated via some sample problems.