Abstraction and specialization of information granules

In this paper, we introduce a model of generalization and specialization of information granules. The information granules themselves are modeled as f uzzy sets or fuzzy relations. The generalization is realized by or-ing fuzz y sets while the specialization is completed through logic ann operation. T hese two logic operators are realized using triangular norms (that is t- an d s-norms). We elaborate On two (top-down and bottom-up) strategies of cons tructing information granules that arise as results of generalization and s pecialization. Various triangular norms are experimented with and some conc lusions based on numeric studies are derived.