By Topic

A new approach to handling fuzzy decision-making problems

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)
Shyi-Ming Chen ; Dept. of Electron. Eng., Fu-Jen Univ., Taipei, Taiwan

Techniques for handling fuzzy decision-making problems are presented in which fuzzy production rules and fuzzy set theory are used for knowledge representation. The maximum fuzzy cover generation techniques used are described in detail. Some examples are given to illustrate the maximum fuzzy cover generation process. The examples are restricted to medical diagnostic problems; however, the techniques can be applied to any other decision-making problem.<>

Published in:

Multiple-Valued Logic, 1988., Proceedings of the Eighteenth International Symposium on

Date of Conference:

0-0 1988