In classical data warehouses (DWH), classification of values takes place in a sharp manner, because of this true values cannot be measured and smooth transition between classes do...
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
A robust adaptive fuzzy neural network (RAFNN) backstepping control system is proposed to control the position of an - -2motion control stage using linear ultrasonic motors (LUSMs)...
This paper proposes a grammar-based approach to semantic annotation which combines the notions of robust parsing and fuzzy grammars. We present an overview of a preliminary resear...
We consider the problem of building robust fuzzy extractors, which allow two parties holding similar random variables W, W to agree on a secret key R in the presence of an active ...