DocumentCode :
2813331
Title :
Particle swarm classifier for fuzzy data sets
Author :
Shahraki, Hadi ; Zahiri, Seyed-Hamid
Author_Institution :
Dept. of Electr. Eng., Univ. of Birjand, Birjand, Iran
fYear :
2015
fDate :
3-5 March 2015
Firstpage :
295
Lastpage :
299
Abstract :
In this paper a particle swarm classifier is proposed to classify fuzzy data sets. This classifier is able to find the decision hyperplanes between different classes with fuzzy samples. The performance of the proposed classifier has been tested on various fuzzy data sets. The experimental results show that our proposed classifier is able to classify fuzzy data sets as other common uncertain data classifiers. Also the results obtained from classifying some crisp data sets show the powerfulness of our proposed classifier for crisp data sets is same as the traditional particle swarm classifier.
Keywords :
fuzzy set theory; particle swarm optimisation; decision hyperplanes; fuzzy data sets; particle swarm classifier; uncertain data classifier; Cancer; Iris recognition; Optimization methods; Particle swarm optimization; Pattern recognition; Support vector machines; Temperature distribution; Classification; fuzzy data set; particle swarm classifier; uncertain data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Signal Processing (AISP), 2015 International Symposium on
Conference_Location :
Mashhad
Print_ISBN :
978-1-4799-8817-4
Type :
conf
DOI :
10.1109/AISP.2015.7123499
Filename :
7123499
Link To Document :
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