Handling fuzziness in temporal databases

Author

Kurutach, Werasak

Author_Institution

Dept. of Comput. Eng., Mahanakorn Univ. of Technol., Bagkok, Thailand

Volume

3

fYear

1998

fDate

11-14 Oct 1998

Firstpage

2762

Abstract

This paper proposes a new data model, called FuzzTime, which is capable of handling both aspects of fuzziness and time of data. These two features can always be encountered simultaneously in many applications. This work is aimed to be a conceptual framework for advanced applications of database systems. Our approach has extended the concept of the relational data model to have such a capability. The notion of linguistic variables, fuzzy set theory and possibility theory have been employed in handling the fuzziness aspect, and the discrete time model has been assumed. Some important time-related operators to be used in a temporal query evaluation with an existence of fuzziness are also discussed

Keywords

data models; fuzzy set theory; possibility theory; relational databases; temporal databases; FuzzTime; discrete time model; fuzziness; fuzzy set theory; linguistic variables; possibility theory; relational data model; temporal databases; temporal query evaluation; time-related operators; Application software; Data engineering; Data models; Database systems; Electronic mail; Fuzzy set theory; Management information systems; Possibility theory; Query processing; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1062-922X

Print_ISBN

0-7803-4778-1

Type

conf

DOI

10.1109/ICSMC.1998.725079

Filename

725079