Title :
About aggregation of imprecise evidence in database
Author_Institution :
Creon Lab Control, Brasov, Romania
fDate :
6/25/1905 12:00:00 AM
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"
Conference_Titel :
Information Technology Interfaces, 2003. ITI 2003. Proceedings of the 25th International Conference on
Print_ISBN :
953-96769-6-7
DOI :
10.1109/ITI.2003.1225340
