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https://link.springer.com/chapter/10.1007/978-3-642-04735-0_16
Abstract. This paper presents an intelligent decision support system for financial portfolio management. An adaptive business intelligence approach combines optimization, forecasting and adaptation with application specific financial information processing and quantitative investment paradigms.Cited by: 1
https://www.sciencedirect.com/science/article/pii/S0165011498003996
An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network Author links open overlay panel R.J. Kuo a …Cited by: 351
https://core.ac.uk/display/12778671
Intelligent decision support: A fuzzy stock ranking system ... Full citation; Abstract. This paper presents an intelligent decision support system for financial portfolio management. An adaptive business intelligence approach combines optimization, forecasting and adaptation with application specific financial information processing and ...Cited by: 1
https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID2335241_code1298142.pdf?abstractid=2335241&mirid=1
method based on fuzzy decision-making system for predicting the stock price. The objective of this system is design an automated strategy that can maximize the profit. Fuzzy System resembles more closely the kind of common sense reasoning we use in decision-making. Benefits of Fuzzy Decision Making System are model basedCited by: 1
http://eprints.ucm.es/30730/1/JIS_FuzzyTradingSystem.pdf
In this work we are proposing a trading system where fuzzy logic is applied not only for defining the trading rules, but also for managing the capital to invest. In fact, two fuzzy decision support systems are developed. The first one uses fuzzy logic to design the trading rules and to apply the stock market technical indicators.
https://www.journals.elsevier.com/applied-soft-computing/former-call-for-papers/special-issue-on-intelligent-decision-support-systems-based
Societal and technological trends make the decision environments more and more complex. The emergence of the intelligent decision making technology provides a good decision support to deal with these complex decision making problems, and soft computing plays a core role in the intelligent decision making technology.
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