Fuzzy information management using the roster model

Author

Chau, R. ; Glasgow, J.I. ; Jenkins, M.A.

Author_Institution

Dept. of Comput. & Inf. Sci., Queen´´s Univ., Kingston, Ont., Canada

Volume

3

fYear

1988

fDate

0-0 1988

Firstpage

329

Lastpage

333

Abstract

The roster model is an array-theoretic alternative to the set-theoretic relational model for handling tabular data. The roster model and its operations are extended to incorporate fuzzy data modeling and manipulation using possibility theory. The result is a fuzzy roster model, in which two levels of uncertainty are represented: the uncertainty in the data itself and the uncertainty in the truth value of the data. Fuzzy projections, selections, and joinings in the model are illustrated with the use of examples. The original roster model and the fuzzy roster model are implemented in the nested interactive array language (NIAL) and are running on a Unix-based SUN-3 Workstation.<>

Keywords

database management systems; database theory; fuzzy set theory; NIAL; Unix-based SUN-3 Workstation; array-theoretic alternative; fuzzy data modeling; fuzzy projections; joinings; nested interactive array language; possibility theory; roster model; selections; set-theoretic relational model; tabular data; truth value; uncertainty; Information management; Information retrieval; Information science; Mathematical programming; Packaging; Possibility theory; Relational databases; Set theory; Uncertainty; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences, 1988. Vol.III. Decision Support and Knowledge Based Systems Track, Proceedings of the Twenty-First Annual Hawaii International Conference on

Conference_Location

Kailua-Kona, HI, USA

Print_ISBN

0-8186-0843-9

Type

conf

DOI

10.1109/HICSS.1988.11924

Filename

11924