DocumentCode :
301635
Title :
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
Link To Document :
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