Title :
An Improving and Application of Attribute Reduction Arithmetic in Agroclimatology
Author :
Wang, Hongxia ; Cheng, Yanhui
Author_Institution :
Coll. of Comput. & Software, Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
Introducing the granular computing and rough set and carrying two basic attribute reduction arithmetic. In this paper, by anglicizing and contrasting the attribute reduction arithmetic in rough set model of granular computing, proposing the improved arithmetic for agroclimatology. At a work it takes core attributes by constructing discernable matrix, and then uses them for heuristic information to next reduction, gained rational attribute set finally.
Keywords :
agriculture; arithmetic; climatology; data mining; matrix algebra; rough set theory; agroclimatology; attribute reduction arithmetic; discernable matrix construction; granular computing; heuristic information; rough set theory; Agriculture; Application software; Computational modeling; Databases; Digital arithmetic; Educational institutions; Humans; Set theory; Water resources; Weather forecasting; attribute reduction; granular computing; rough set;
Conference_Titel :
Database Technology and Applications, 2009 First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3604-0
DOI :
10.1109/DBTA.2009.153
