A Solving Algorithm of Fuzzy Support Vector Machines Based on Determination of Membership

DOI

10.2991/iccia.2012.182How to use a DOI?

Keywords

Support Vector Machine, Fuzzy Support Vector Machine, the fuzzy membership, SMO

Abstract

In order to overcome the issues that Support Vector Machine is sensitive to the outlier and noise points, Fuzzy Support Vector Machine (FSVM) is proposed. The key issue to solve the FSVM is determinate the fuzzy membership. This paper gives an overview of construction algorithm of the fuzzy membership. We also give an algorithm to solve FSVM that is derived from improved-SMO algorithm.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hua Duan
AU  - Yanmei Hou
PY  - 2014/05
DA  - 2014/05
TI  - A Solving Algorithm of Fuzzy Support Vector Machines Based on Determination of Membership
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 757
EP  - 760
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.182
DO  - 10.2991/iccia.2012.182
ID  - Duan2014/05
ER  -