Discovering Fuzzy-Rough Reducts through Estimation of Distribution Algorithms

Richard Jensen*, Neil MacParthalain

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

Crynodeb

Due to the explosive growth of stored information worldwide, feature selection (FS) is becoming an increasingly important step, particularly given the abundance of noisy, irrelevant or misleading features. The main aim of FS is to determine a minimal feature subset from a problem domain while retaining a suitably high accuracy in representing the original set of features. However, the problem of finding optimal reductions is challenging as there is always a trade-off between the extent of reduction and the resulting information loss. This topic has been of particular interest in rough and fuzzy-rough set theory, as these provide a mechanism for defining optimality using only the data itself. Evolutionary methods have been used to try to find rough and fuzzy-rough optimal reductions, but these approaches ignore the fact that not all equally-sized reducts have the same utility for classifiers. This paper presents a novel approach for fuzzy-rough feature selection that uses Estimation of Distribution Algorithms to maintain information about the quality of features, to then obtain a better quality reduct that is more useful in general.

Iaith wreiddiolSaesneg
Teitl2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
GolygyddionA Yazici, NR Pal, U Kaymak, T Martin, H Ishibuchi, CT Lin, JMC Sousa, B Tutmez
CyhoeddwrIEEE Press
Tudalennau1-8
Nifer y tudalennau8
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2015
DigwyddiadFuzzy Systems - Istanbul, Twrci
Hyd: 02 Awst 201505 Awst 2015
Rhif y gynhadledd: 24

Cyfres gyhoeddiadau

EnwIEEE International Fuzzy Systems Conference Proceedings
CyhoeddwrIEEE
ISSN (Argraffiad)1544-5615

Cynhadledd

CynhadleddFuzzy Systems
Teitl crynoFUZZ-IEEE-2015
Gwlad/TiriogaethTwrci
DinasIstanbul
Cyfnod02 Awst 201505 Awst 2015

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