Integrating a relational database management system and a fuzzy rule based expert system

Author

Santoso, Pumomo B.

Author_Institution

Dept. of Mech. Eng., Queensland Univ., Brisbane, Qld., Australia

fYear

1994

fDate

29 Nov-2 Dec 1994

Firstpage

417

Lastpage

421

Abstract

This paper discusses a prototype of an application which combines the power of a relational database management system (RDBMS) and a fuzzy rule-based expert system (FRES), the role of FRES is a back end for the database to overcome fuzzy information, taking the results of a query and analyzing it with rules in order to make recommendation, in this integration, the RDBMS has other important tasks which include providing a graphic interface for designing membership functions of the FRES, preparing input data for the FRES by analyzing raw data, interpreting the resultant data from the FRES into more meaningful information, the RDBMS is developed using paradox for windows version 4.5, the FRES is developed in C language using Borland C++4.0

Keywords

expert systems; fuzzy logic; relational databases; uncertainty handling; C language; fuzzy rule based expert system; fuzzy rule-based; graphic interface; membership functions; prototype; relational database management system; Data analysis; Energy management; Expert systems; Fuzzy systems; Graphics; Hybrid intelligent systems; Information analysis; Power system management; Prototypes; Relational databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on

Conference_Location

Brisbane, Qld.

Print_ISBN

0-7803-2404-8

Type

conf

DOI

10.1109/ANZIIS.1994.397000

Filename

397000