1991 Volume 3 Issue 1 Pages 86-97
Active research and development efforts have been undertaken in the field of fuzzy database systems(FDBS), database systems based on the fuzzy set theory, with the goal of managing and processing a large amount of fuzzy information. A central theme of the FDBS research is to manage individualized fuzzy data, as well as objective shared data, in an integrated manner, and to process subjective queries on those data. This paper proposes a method to manage individualized data on fuzzy attributes that assume possibility distributions as their values. First, we develop an effective schema representation of such fuzzy attributes based on the Extended Graph Data Model, a graph-oriented, pseudo-semantic data model. Then, we describe the basic architecture and the query processing procedure of an FDBS that manages the data on fuzzy attributes acquired from multiple users and realizes the subjective fuzzy occurrence views which handle users' individualized fuzzy occurrences. A sample database on people's age is used to demonstrate how the handling of individualized possibility distribution results in different answers to an identical query on the same schema.
