By Topic

Hierarchical fuzzy rule-based classification system by evolutionary boosting algorithm

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

2 Author(s)
Azam Amouzadi ; Electrical and Computer Eng. Dept Isfahan University of Technology, Iran ; Abdolreza Mirzaei

In this paper, a new Hierarchical fuzzy classifier based on evolutionary boosting algorithms is proposed. The main goal of this paper is to improve the performance of fuzzy rule based classifiers through utilizing hierarchical structure for achieving fuzzy rules. The advantages of hierarchical fuzzy rules generated by evolutionary boosting algorithms are evaluated by comparison between the performance of proposed algorithm and other classifications methods on a set of standard classification tasks.

Published in:

Telecommunications (IST), 2010 5th International Symposium on

Date of Conference:

4-6 Dec. 2010