Summary
2011 International Symposium on Nonlinear Theory and Its Applications
2011
Session Number:B4L-B
Session:
Number:B4L-B2
Fuzzy Reasoning Inference Model Integrated with Self-Organizing Map for Forecasting Investment Companies under Uncertain Conditions
Hai V. Pham, Eric. W. Cooper, Thang C., Katsuari Kamei,
pp.533-536
Publication Date:2011/9/4
Online ISSN:2188-5079
Summary:
Forecasting investment companies are used to evaluate based on quantitative and qualitative information under uncertain conditions such as dynamic markets, stock markets and investment portfolios. In our research, we present a new approach which is Fuzzy Reasoning Inference Model integrated with Self-Organizing Map (SOM) using collaborative decision making, together with uncertainties of market conditions to forecast/select the best alternatives from larger number of choices. The proposed approach aims to assist experts to select the right companies for investment and eliminates risky companies. In the proposed approach, the Fuzzy Reasoning Inference Model uses to quantify uncertainties of market conditions, quantitative and qualitative data sets that are integrated by Self-Organizing Map (SOM) in order to select companies and reduce investment risks with dynamic solutions in dynamic environments. To confirm the model’s performance, the proposed approach has been tested and performed well in stock markets by dealing with uncertain conditions. Experimental results show that the proposed approach was performed better than other current approaches in terms of investment companies when trading stocks.