DocumentCode :
3313295
Title :
The Application of Data Mining Techniques to Programme Decision Making and Information Management
Author :
Liang Zhan-fan ; Liu Lang
Author_Institution :
Sch. of Econ. & Manage., Wuhan Univ., Wuhan
Volume :
2
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
780
Lastpage :
786
Abstract :
This article has used data mining techniques and fuzzy comprehensive evaluation model to analyze and deal with a large number of complex data and information of programme management (PgM), and founds that valuable knowledge. When analyzing and making programme selection, the author establishes the fuzzy comprehensive evaluation model and AHP(the analytic hierarchy process), calculates on comparative judgment matrix to two and the above enterprise programme, then discovers the most superior sorting and the corresponding priority, carries on the programme attribute decomposition structure EPgABS code system design according to this order, mainly solves the enterprise programme dynamic resource disposition problem. To further implement the strategic planning, to realize the scientific management and decision making finally, it provides the powerful basis.
Keywords :
data mining; decision making; fuzzy set theory; information management; matrix algebra; strategic planning; EPgABS code system; analytic hierarchy process; comparative judgment matrix; data mining; dynamic resource disposition; fuzzy comprehensive evaluation; information management; programme attribute decomposition structure; programme decision making; strategic planning; Data mining; Decision making; Energy management; Fuzzy systems; Information analysis; Information management; Knowledge management; Matrix decomposition; Sorting; Strategic planning; PgM decision making; data mining; fuzzy comprehensive evaluation model; information management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-4223-2
Type :
conf
DOI :
10.1109/NSWCTC.2009.89
Filename :
4908585
Link To Document :
بازگشت