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 :
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