Abstract
Since interval-valued memberships is better than real membership values to represent higher-order imprecision and vagueness for human perception. In this paper, we extend fuzzy relations to interval-valued fuzzy relations and then construct T-transitive interval-valued fuzzy relations for clustering. We then apply the proposed method to a practical example.