Title :
One Direction S-Rough Decision Law Inference and Law Mining
Author :
Huang, Shun-liang ; Shi, Kai-quan
Author_Institution :
Sch. of Manage., Shandong Univ. of Technol., Zibo
Abstract :
S-rough sets (Singular rough sets) improves Z. Pawlak rough sets, and S-rough sets has dynamic characteristics. By employing one direction S-rough sets, a generation method of one direction S-rough decision law is presented. The concepts of upper-decision law, lower-decision law, one direction S-rough decision law, one direction S-rough decision law kernel, one direction S-rough decision law band and one direction S-rough decision law hull are proposed. The theorems about decision law inference and decision law mining are presented. The criterion of rough decision law mining is given.
Keywords :
decision making; inference mechanisms; rough set theory; S-rough sets; decision law mining; lower-decision law; one direction S-rough decision law inference; singular rough sets; upper-decision law; Kernel; Mathematics; Rough sets; Technology management;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5072985
