Title :
Combined Study in Incomplete Decision Table
Author_Institution :
Comput. Center, Yangzhou Univ., Yangzhou, China
Abstract :
Many theories used for uncertainty problems are strongly complementary to each other because they focus on different aspects. First,this study proposes a new relative reduction algorithm by combing two theories which are frequently used to process incomplete information; and then the obtained rules is optimized. It has been proved by example that the result is reliable.
Keywords :
decision tables; rough set theory; incomplete decision table; incomplete information processing; relative reduction algorithm; uncertainty problems; Acceleration; Data mining; Databases; Delta modulation; Explosives; Information systems; Information technology; Knowledge representation; Set theory; Uncertainty;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5364962
