DocumentCode
467048
Title
Evaluation of High-tech Program Based on Rough Set Theory
Author
Ma, Tinghuai ; Tang, Meili
Author_Institution
Nanjing Univ. of Inf. Sci. & Technol., Nanjing
Volume
2
fYear
2007
fDate
July 30 2007-Aug. 1 2007
Firstpage
850
Lastpage
854
Abstract
Evaluating and selecting high-tech program is the most important for the investment company. This paper establishes the multi-targets evaluation system, which based on rough set theory. This paper analyses the evaluation data of the high-tech program, in order to find the important and primary parameters. According to reduction of rough set, we design and implement a reduction algorithm named pruning method. Finally, an example is used to illustrate the effectiveness and practicability of the method proposed.
Keywords
investment; rough set theory; high-tech program; investment company; multitarget evaluation system; reduction algorithm pruning method; rough set theory; Algorithm design and analysis; Artificial intelligence; Computer networks; Concurrent computing; Data analysis; Distributed computing; Investments; Knowledge based systems; Set theory; Software engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-2909-7
Type
conf
DOI
10.1109/SNPD.2007.285
Filename
4287800
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