Title :
F-separation law inference and law mining
Author :
Shunliang, Huang ; Houli, Gao
Author_Institution :
Sch. of Manage., Shandong Univ. of Technol., Zibo, China
Abstract :
By using function one direction S-rough sets, this paper presents concepts of f-separation law, F-separation law, f-separation law dependence and F-separation law dependence. Based on these concepts above, this paper proposes the separation-dependence theorem of f-separation law, the separation-dependence theorem of F-separation law, the separation-dependence theorem, and the criteria of law separation dependence-discovery. Finally, the application of law separation dependence for discovery of system law is given.
Keywords :
data mining; inference mechanisms; rough set theory; F-separation law dependence; f-separation law dependence; function one direction S-rough set; law inference; law mining; system law discovery; Automation; Conference management; Electronic mail; Logistics; Rough sets; Technology management; Function S-rough sets; Rough sets; law mining; rough law;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262890
