Title :
Rough Law Separation-Reduction Based on Function S-Rough Sets
Author :
Shunliang, Huang ; Houli, Gao ; Meixiang, Wu
Author_Institution :
Sch. of Manage., Shandong Univ. of Technol., Zibo Shandong, China
Abstract :
Function S-rough sets have dynamic characteristics and law characteristics. By employing function S-rough sets and law generation, this paper proposes the concepts of rough law, F-separation rough law band, f-separation law and fmacr-reduction law. Based on these concepts above, this paper proposes the theorem of rough law separation, the composition generation theorem of rough law band, and the entire separation theorem of F-rough law. In the end, an application of rough law separation in recognizing the risk profit law is presented.
Keywords :
investment; rough set theory; F-rough law separation theorem; F-separation rough law band; f-separation law; fmacr-reduction law; function S-rough sets; risk profit law recognition; Automation; Conference management; Investments; Rough sets; Technology management; function S-rough sets; law mining; rough law;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.386