Title :
Evaluate enterprise resource planning based on rough-set unascertained model
Author_Institution :
Dept. of Inf. Manage., Hunan Univ. of Finance & Econ., Changsha, China
Abstract :
Enterprise Resource Planning (ERP) systems are viewed as a promising and powerful information technology solution for dealing with the impact of competition advancements and enabling corporations to improve productivity and to operate more efficiently. Analyzing evaluation index of impacting the enterprise resource planning, this paper simplifies the indicators by applying the rough set theory, and gets the main indicators of impacting the enterprise resource planning, and then applies unascertained evaluation model to have an overall evaluation. Finally, analyze the specific example to demonstrate the effectiveness of the method.
Keywords :
enterprise resource planning; rough set theory; ERP; competition advancements; enterprise resource planning; evaluation index analysis; information technology solution; productivity improvement; rough-set unascertained model; Cities and towns; Decision making; Enterprise resource planning; Indexes; Information technology; Production; Enterprise resource planning; attribute reduction; rough set; unascertained;
Conference_Titel :
Robotics and Applications (ISRA), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2205-8
DOI :
10.1109/ISRA.2012.6219235