Generalized Discernibility Function Based Attribute Reduction in Incomplete Decision Systems

Dinh, Vu Van, and Giang, Nguyen Long. "Generalized Discernibility Function Based Attribute Reduction in Incomplete Decision Systems." Serdica Journal of Computing 7.4 (2013): 375-388. <http://eudml.org/doc/268678>.

@article{Dinh2013,
abstract = {A rough set approach for attribute reduction is an important research subject in data mining and machine learning. However, most attribute reduction methods are performed on a complete decision system table. In this paper, we propose methods for attribute reduction in static incomplete decision systems and dynamic incomplete decision systems with dynamically-increasing and decreasing conditional attributes. Our methods use generalized discernibility matrix and function in tolerance-based rough sets.},
author = {Dinh, Vu Van, Giang, Nguyen Long},
journal = {Serdica Journal of Computing},
keywords = {Rough Set; Tolerance-Based Rough Set; Decision System; Incomplete Decision System; Attribute Reduction; Reduct},
language = {eng},
number = {4},
pages = {375-388},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {Generalized Discernibility Function Based Attribute Reduction in Incomplete Decision Systems},
url = {http://eudml.org/doc/268678},
volume = {7},
year = {2013},
}

TY - JOUR
AU - Dinh, Vu Van
AU - Giang, Nguyen Long
TI - Generalized Discernibility Function Based Attribute Reduction in Incomplete Decision Systems
JO - Serdica Journal of Computing
PY - 2013
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 7
IS - 4
SP - 375
EP - 388
AB - A rough set approach for attribute reduction is an important research subject in data mining and machine learning. However, most attribute reduction methods are performed on a complete decision system table. In this paper, we propose methods for attribute reduction in static incomplete decision systems and dynamic incomplete decision systems with dynamically-increasing and decreasing conditional attributes. Our methods use generalized discernibility matrix and function in tolerance-based rough sets.
LA - eng
KW - Rough Set; Tolerance-Based Rough Set; Decision System; Incomplete Decision System; Attribute Reduction; Reduct
UR - http://eudml.org/doc/268678
ER -