Applying FSSAM for Currency Rates Forecasting

  • Penka Valkova Georgieva Burgas Free University
Keywords: FSSAM, Soft Computing, Fuzzy Inference System, Currency Rates


Currency rates forecasting in real-time is a milestone in the process of financial decision making. Assessing the historical performance of currency rates is a major concept in financial management. In this paper Fuzzy Software System for Asset Management (FSSAM) is briefly described. This system is applied on real data of currency rates and some of the results are shown.

Author Biography

Penka Valkova Georgieva, Burgas Free University

Faculty of Computer Science and Engineering




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How to Cite
Georgieva, P. V. (2016). Applying FSSAM for Currency Rates Forecasting. Transactions on Machine Learning and Artificial Intelligence, 4(3), 30.