By Topic

An adaptive case-based reasoning model for decision support in dynamic environments

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

1 Author(s)
Pi-Sheng Deng ; Sch. of Bus. Adm., California State Univ., Turlock, CA, USA

In this research we propose an adaptive case-based reasoning model for the effective support of ill-structured, classificatory decisions. Our model is characterized by its incorporation of Type-I and Type-II errors into performance improvement. This model is used to complement the traditional approaches to decision support in dynamic environments. Performance comparison is conducted for our model, rule induction, and connectionist approaches

Published in:

Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on  (Volume:2 )

Date of Conference:

2-5 Oct 1994