By Topic

A fuzzy expert system for mutual fund selection

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Talluru, L.R. ; Pennsylvania State Univ., Erie, PA, USA

This paper describes a fuzzy logic approach to the process of mutual fund selection. It argues that the fuzzy logic approach provides a novel way to analyze the investor's profile, available mutual funds, and select an economically rational mutual fund to satisfy the investor's situation. It discusses the design issues involved in developing a fuzzy expert system for selecting the mutual fund. A prototype system is implemented using XpertRule software

Published in:

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on  (Volume:1 )

Date of Conference:

12-15 Oct 1997