DocumentCode
2762169
Title
Hierarchical fuzzy rule-based classification system by evolutionary boosting algorithm
Author
Amouzadi, Azam ; Mirzaei, Abdolreza
Author_Institution
Electr. & Comput. Eng. Dept., Isfahan Univ. of Technol., Isfahan, Iran
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
909
Lastpage
913
Abstract
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.
Keywords
evolutionary computation; fuzzy set theory; knowledge based systems; pattern classification; evolutionary boosting algorithms; fuzzy rule based classification system; hierarchical fuzzy classifier; Accuracy; Algorithm design and analysis; Boosting; Classification algorithms; Gallium; Iris; Training; boosting algorithm; classification; evolutionary algorithm; hierarchical fuzzy rule;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications (IST), 2010 5th International Symposium on
Conference_Location
Tehran
Print_ISBN
978-1-4244-8183-5
Type
conf
DOI
10.1109/ISTEL.2010.5734152
Filename
5734152
Link To Document