A fuzzy logic approach to the summarization of database information

Author

George, R. ; Srikanth, R.

Author_Institution

Dept. of Comput. Sci., Clark Atlanta Univ., GA, USA

Volume

3

fYear

1995

fDate

22-25 Oct 1995

Firstpage

2824

Abstract

An approach to the summarization of database information using fuzzy logic is presented. The general form of a summary is QYs are F where Q is a fuzzy linguistic quantifier, Y is a class of objects and F is a property of the class or a summary that applies to the class quantified by Q. The truth of such a proposition can be determined for each tuple. Bounds on such descriptions can be defined in terms of a most general specification constituent description and a most specific generalization constraint description. A genetic algorithm technique is used to obtain a near optimal summary that fits a given set of tuples

Keywords

database management systems; fuzzy logic; genetic algorithms; database information summarization; database information summary; fuzzy linguistic quantifier; fuzzy logic approach; genetic algorithm; most general specification constituent description; most specific generalization constraint description; Computer science; Databases; Fuzzy logic; Fuzzy sets; Genetic algorithms; Information retrieval; Laboratories; Noise robustness; Sun;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2559-1

Type

conf

DOI

10.1109/ICSMC.1995.538210

Filename

538210