Updating relational databases with linguistic data based on hedge algebras

Abstract

Relational Databases (DB) with linguistic data based on hedge algebras (HA) were introduced, following this approach, data manipulation (include linguistic data) is simpler and more efficient, practical than the other one. On this basis, in this paper, we will present the update operations on relational databases with linguistic data based on HA. Update operations are built by mean of semantically quantifying mapping (SQM) and similarity relation of depth k, where k is the length of a linguistic value that belongs to the values domain of an attribute.