Selective neuro-fuzzy system with fuzzy associative matrix

Neuro-fuzzy hybrid systems have solved many problems in different ways. These systems can produce both learning ability and uncertain knowledge processing ability. However, to make a more powerful intelligent system, it is necessary to consider human selective recognition, the hierarchical structure of knowledge processing and data extraction. We propose a selective neuro-fuzzy system which has learning, selective perceptible ability and the mechanism for data extraction from their association using a fuzzy associative matrix and test the with medical data.