TY - GEN
T1 - Boosting based fuzzy-rough pattern classifier
AU - Vadakkepat, Prahlad
AU - Pramod Kumar, P.
AU - Ganesan, Sivakumar
AU - Poh, Loh Ai
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - A novel classification algorithm based on the rough set concepts of fuzzy lower and upper approximations is proposed. The algorithm transforms each quantitative value of a feature into fuzzy sets of linguistic terms using membership functions and calculates the fuzzy lower and upper approximations. The membership functions are generated from cluster points generated by the subtractive clustering technique. A certain rule set based on fuzzy lower approximation and a possible rule set based on fuzzy upper approximation are generated. A genetic algorithm, based on iterative rule learning in combination with a boosting technique, is used to generate the possible rules. The proposed classifier is tested with three well known datasets from the UCI machine learning repository, and compared with relevant classification methods.
AB - A novel classification algorithm based on the rough set concepts of fuzzy lower and upper approximations is proposed. The algorithm transforms each quantitative value of a feature into fuzzy sets of linguistic terms using membership functions and calculates the fuzzy lower and upper approximations. The membership functions are generated from cluster points generated by the subtractive clustering technique. A certain rule set based on fuzzy lower approximation and a possible rule set based on fuzzy upper approximation are generated. A genetic algorithm, based on iterative rule learning in combination with a boosting technique, is used to generate the possible rules. The proposed classifier is tested with three well known datasets from the UCI machine learning repository, and compared with relevant classification methods.
UR - http://www.scopus.com/inward/record.url?scp=78149258810&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78149258810&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-15810-0_39
DO - 10.1007/978-3-642-15810-0_39
M3 - Conference contribution
AN - SCOPUS:78149258810
SN - 3642158099
SN - 9783642158094
T3 - Communications in Computer and Information Science
SP - 306
EP - 313
BT - Trends in Intelligent Robotics - 13th FIRA Robot World Congress, FIRA 2010, Proceedings
T2 - 13th FIRA Robot World Congress on Trends in Intelligent Robotics, FIRA 2010
Y2 - 15 September 2010 through 17 September 2010
ER -