The article deals with the possible methodology of processing of data and information for the search of prediction of heat supply daily diagram (HSDD). The methodology includes te...
The methods of reconstruction of perception based functions (PBF) given by the set of rules like “If X is SMALL then Y is VERY QUICKLY INCREASING”, “If X is BETWEEN A and B ...
In this paper we propose a random set framework for learning linguistic models for prediction problems. We show how we can model prediction problems based on learning linguistic p...
A comparison is made of two approaches to approximate reasoning: Mamdani's interpolation method and the implication method. Both approaches are variants of Zadeh's compo...
In the paper, a new optimal learning algorithm for a neo-fuzzy neuron (NFN) is proposed. The algorithm is characteristic in that it provides online tuning of not only the synaptic...