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About aggregation of imprecise evidence in database

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1 Author(s)
Vladarean, C.-M. ; Creon Lab Control, Brasov, Romania

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.

Published in:

Information Technology Interfaces, 2003. ITI 2003. Proceedings of the 25th International Conference on

Date of Conference:

16-19 June 2003

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