An incremental approach to obtaining attribute reduction for dynamic decision systems
Open Mathematics (2016)
- Volume: 14, Issue: 1, page 875-888
- ISSN: 2391-5455
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topLiu Wenjun. "An incremental approach to obtaining attribute reduction for dynamic decision systems." Open Mathematics 14.1 (2016): 875-888. <http://eudml.org/doc/287133>.
@article{LiuWenjun2016,
abstract = {In the 1960s Professor Hu Guoding proposed a method of measuring information based on the idea that connotation and denotation of a concept satisfies inverse ratio rule. According to this information measure, firstly we put forward the information quantity for information systems and decision systems; then, we discuss the updating mechanism of information quantity for decision systems; finally, we give an attribute reduction algorithm for decision tables with dynamically varying attribute values.},
author = {Liu Wenjun},
journal = {Open Mathematics},
keywords = {Rough set; Conditional information quantity; Dynamic decision system; Attribute reduction; rough set; conditional information quantity; dynamic decision system; attribute reduction},
language = {eng},
number = {1},
pages = {875-888},
title = {An incremental approach to obtaining attribute reduction for dynamic decision systems},
url = {http://eudml.org/doc/287133},
volume = {14},
year = {2016},
}
TY - JOUR
AU - Liu Wenjun
TI - An incremental approach to obtaining attribute reduction for dynamic decision systems
JO - Open Mathematics
PY - 2016
VL - 14
IS - 1
SP - 875
EP - 888
AB - In the 1960s Professor Hu Guoding proposed a method of measuring information based on the idea that connotation and denotation of a concept satisfies inverse ratio rule. According to this information measure, firstly we put forward the information quantity for information systems and decision systems; then, we discuss the updating mechanism of information quantity for decision systems; finally, we give an attribute reduction algorithm for decision tables with dynamically varying attribute values.
LA - eng
KW - Rough set; Conditional information quantity; Dynamic decision system; Attribute reduction; rough set; conditional information quantity; dynamic decision system; attribute reduction
UR - http://eudml.org/doc/287133
ER -
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