The development of an intelligent agent prototype for mutual fund investment

This paper introduces the development aspects of an intelligent agent for mutual fund investment decisions. The success of next-generation Enterprise Resource Planning (ERP) systems mainly depends on making intelligent systems more useful for automated planning and strategic-level decisions, rather than using them merely for transaction processing at the operational level. The required knowledge for the development of the rule base has been adapted from the literature and the working of the intelligent agent prototype has been demonstrated using suitable examples. The developed system, based on fuzzy logic, takes a wide range of values as input and comes out with a unique decision, whereas an ordinary expert system would have given multiple decisions as output. Vagueness handling is possible on the internet and this helps the evolution of ERP, for which internet enabled strategic decision-making is of paramount importance.