Application of high-level fuzzy Petri nets to investment decisions of stock markets
Victor R.L. Shen, Wei-Cheng Li, Shyi‐Ming Chen · 2012
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.