Expert systems and fuzzy systems
Expert systems and fuzzy systems
Computer
Intelligent systems for engineers and scientists (2nd ed.)
Intelligent systems for engineers and scientists (2nd ed.)
Introduction to Applied Fuzzy Electronics
Introduction to Applied Fuzzy Electronics
Distributed Intelligent Agents
IEEE Expert: Intelligent Systems and Their Applications
An approximate reasoning based technique for oil assessment
Expert Systems with Applications: An International Journal
Financial implications of artificial Neural Networks in automobile insurance underwriting
International Journal of Electronic Finance
Using relative movement to support ANN-based stock forecasting in Thai stock market
International Journal of Electronic Finance
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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.