Cart (Loading....) | Create Account
Close category search window

Using cultural algorithms to support re-engineering of rule-based expert systems in dynamic performance environments: a case study in fraud detection

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
$31 $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

2 Author(s)
Sternberg, M. ; AAA Michigan, Dearborn, MI, USA ; Reynolds, R.G.

A significant problem in the application of rule-based expert systems has arisen in the area of re-engineering such systems to support changes in initial requirements. In dynamic performance environments, the rate of change is accelerated and the re-engineering problem becomes significantly more complex. One mechanism to respond to such dynamic changes is to utilize a cultural algorithm (CA). The CA provides self-adaptive capabilities which can generate the information necessary for the expert system to respond dynamically. To illustrate the approach, a fraud detection expert system was embedded inside a CA. To represent a dynamic performance environment, four different application objectives were used. The objectives were characterizing fraudulent claims, nonfraudulent claims, false positive claims, and false negative claims. The results indicate that a culturally enabled expert system can produce the information necessary to respond to dynamic performance environments

Published in:

Evolutionary Computation, IEEE Transactions on  (Volume:1 ,  Issue: 4 )

Date of Publication:

Nov 1997

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.