Title :
Variable Precision Rough Set Model in Incomplete Ordered Decision System
Author :
Zhao, Xia ; Ha, Minghu ; Zhang, Aiquan
Author_Institution :
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding
Abstract :
Based on the similarity dominance degree, the incomplete ordered decision system with all values that are "do not care" unknown values is established. The variable precision rough set model based on similarity dominance degree in the incomplete ordered decision system is given, and some properties of rough approximation operators of the variable precision rough set model are discussed.
Keywords :
approximation theory; decision theory; mathematical operators; rough set theory; incomplete ordered decision system; rough approximation operators; similarity dominance degree; variable precision rough set model; Computer science; Control systems; Data analysis; Data mining; Information systems; Machine learning; Mathematical model; Mathematics; Rough sets; Utility programs;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.672
