DocumentCode :
578417
Title :
Application of high-level fuzzy Petri nets to investment decisions of stock markets
Author :
Shen, Victor R l ; Li, Wei-cheng ; Chen, Shyi-ming
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taipei Univ., Taipei, Taiwan
Volume :
4
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
1429
Lastpage :
1434
Abstract :
As information technology grows dramatically and the financial market of Taiwan turns out to be active, the investment management becomes very popular in recent years. To facilitate the rapid development of information technology and the financial market, the application of information to financial investment becomes an important issue as essential evaluation metrics. This paper focuses on modeling the business behavior of financial investment systems by the high-level fuzzy Petri net (HLFPN) for the purpose of developing an appropriate investment decision. Based on the HLFPN model, the proposed system provides individual investors to obtain relevant information to understand the investment trend. As a result, we propose a practical financial investment system to enhance investment benefits and to help investors achieve the desired goals to improve the economy.
Keywords :
Petri nets; decision making; fuzzy reasoning; fuzzy set theory; investment; stock markets; HLFPN model; Taiwan financial market; economy improvement; evaluation metrics; financial investment systems; high-level fuzzy Petri net; information technology; investment benefits; investment decisions; investment management; investors; stock markets; Abstracts; Cognition; Indexes; Investments; Psychology; Financial market; High-level fuzzy Petri nets; Investment decision; Technical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2160-133X
Print_ISBN :
978-1-4673-1484-8
Type :
conf
DOI :
10.1109/ICMLC.2012.6359575
Filename :
6359575
Link To Document :
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