Generalization Data Mining of Imprecise Forms of Information Using Intuitionistic and Interval-Valued Fuzzy Set Approaches

Abstract

Data mining refers to a variety of techniques in fields of databases, machine learning and pattern recognition. The intent is to obtain useful patterns and associations from large collection of data.  The approach we consider is the use of attribute generalization using concept hierarchies. We will consider heterogeneous data with uncertainty; in particular we extend the previous techniques for fuzzy sets to data represented by intuitionistic or interval-valued fuzzy sets.