Granular neural network for numerical linguistic data fusion

This paper researched a neural networks based knowledge discovery and data mining (KDDM) methodology based on granular computing, neural computing, fuzzy computing, linguistic computing, and pattern recognition. A granular neural network (GNN) is designed to deal with numerical-linguistic data, to learn internal granular relations between numerical-linguistic inputs and outputs, and to deal with numerical-linguistic data fusion, and predict new relations in a database.