DocumentCode
684267
Title
Definite reducts in ordered decision information systems
Author
Yanyong Guan ; Hongkai Wang ; Wenjuan Chen ; Bin Chen
Author_Institution
Sch. of Math. Sci., Jinan Univ., Guangzhou, China
fYear
2013
fDate
19-21 Oct. 2013
Firstpage
91
Lastpage
95
Abstract
In ordered decision information systems, by taking the interval as basic knowledge granules, lower and upper approximations of unions of decision classes can be defined, and interval decision rules can be induced. Definite interval decision rules with univocal decision, induced by intervals in lower approximations of every decision class, can be used in classification for ordinal data. To the end of optimizing all the definite interval decision rules, definite positive region is defined and the concept of definite reduct is proposed. Discernibility function is constructed and used to compute definite reducts by Boolean reasoning technique.
Keywords
Boolean functions; decision theory; inference mechanisms; pattern classification; rough set theory; Boolean reasoning technique; approximations; decision classes; definite interval decision rules; definite positive region; definite reduct; discernibility function; dominance-based rough set approach; knowledge granules; ordered decision information systems; ordinal data classification; univocal decision; Europe; Lead; Probabilistic logic;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (ICACI), 2013 Sixth International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-6341-9
Type
conf
DOI
10.1109/ICACI.2013.6748480
Filename
6748480
Link To Document