NDLI: Particle swarm classifier for fuzzy data sets

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Table of contents

The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012)

2011 International Symposium on Artificial Intelligence and Signal Processing (AISP)

Particle swarm classifier for fuzzy data sets

Content Provider	IEEE Xplore Digital Library
Author	Shahraki, H. Zahiri, S.-H.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. Eng., Univ. of Birjand, Birjand, Iran (Shahraki, H.; Zahiri, S.-H.)
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.
Starting Page	295
Ending Page	299
File Size	388003
Page Count	5
File Format	PDF
e-ISBN	9781479988181
DOI	10.1109/AISP.2015.7123499
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-03-03
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Temperature distribution Particle swarm classifier Optimization methods Classification Pattern recognition Particle swarm optimization Uncertain data Fuzzy data set Iris recognition Cancer
Content Type	Text
Resource Type	Article

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