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
fDate :
July 30 2007-Aug. 1 2007
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;
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
DOI :
10.1109/SNPD.2007.285
