DocumentCode
3614595
Title
About aggregation of imprecise evidence in database
Author
C.-M. Vladarean
Author_Institution
Creon Lab Control, Brasov, Romania
fYear
2003
fDate
6/25/1905 12:00:00 AM
Firstpage
167
Lastpage
172
Abstract
We present a data-driven approach to fuzzy modelling that provides the user with both accurate and transparent rule bases for her/his database. The method has two steps: data exploration by means of fuzzy clustering and fuzzy set aggregation by means of similarity analysis.
Keywords
"Databases","Fuzzy sets","Fuzzy systems","Fuzzy neural networks","Humans","Function approximation","Computational complexity","Data analysis","Machine learning","Prototypes"
Publisher
ieee
Conference_Titel
Information Technology Interfaces, 2003. ITI 2003. Proceedings of the 25th International Conference on
ISSN
1330-1012
Print_ISBN
953-96769-6-7
Type
conf
DOI
10.1109/ITI.2003.1225340
Filename
1225340
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