Predicting performance of unit trust by using artificial neural fuzzy inference system

Abstract

An Artificial Intelligence model is successful in scientific fields such as medicine and engineering field. In this paper Artificial Neural Fuzzy Inference System (ANFIS) is developed for unit trust prediction. ANFIS are learning a relationship between inputs and outputs and it is dependent on the data to achieve a highly nonlinear mapping and it is superior to common linear methods in reproducing nonlinear time series. ANFIS have been used to predict the performance of three types of fund in Prudential Management fund based on the net asset value. ANFIS is used to forecast the future prices so investor can know how well each unit trust does perform and it is useful to help investor in making decision to invest in unit trust.