Cluster validity for fuzzy criterion clustering

Defines 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. The authors propose an algorithm for this model that solves both the validity and clustering problems. The authors' approach is validated via some sample problems.