Type-2 Fuzzy Interface for Artificial Neural Network

Artificial Neural Network (ANN) is a step towards simulation of human brain, where knowledge is stored in the interconnected processing elements called neurons. ANN systems have been widely used for classification, pattern recognition, forecasting, and learning. These systems can learn automatically from large number of data sets and hence overcome need of documenting knowledge manually. One of the major limitations of ANN is that, they operate on crisp data. Preparation of such large crisp data sets is a tedious and time consuming procedure, which can be avoided by facilitating an interface that directly inputs the environmental fuzzy data. This chapter describes design of a fuzzy interface system which enables users to input environmental ABSTRACT