Title :
Fuzzy set methods for uncertainty representation in risky financial decisions
Author :
Yager, Ronald R.
Author_Institution :
Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
Abstract :
The problem of selecting an investment option in the face of uncertainty with respect to the payoff is considered. Methods for the representation of uncertainty based on the theory of fuzzy sets and the Dempster-Shafer belief structure are described. Approaches for comparing alternatives under various kinds of uncertainty are discussed
Keywords :
belief maintenance; decision theory; finance; fuzzy set theory; inference mechanisms; investment; knowledge representation; risk management; uncertainty handling; Dempster-Shafer belief structure; fuzzy set methods; investment option selection; payoff; risky financial decisions; uncertainty representation; Economic indicators; Educational institutions; Fuzzy sets; Instruments; Investments; Machine intelligence; Nominations and elections; Portfolios; Probability distribution; Uncertainty;
Conference_Titel :
Computational Intelligence for Financial Engineering, 1996., Proceedings of the IEEE/IAFE 1996 Conference on
Conference_Location :
New York City, NY
Print_ISBN :
0-7803-3236-9
DOI :
10.1109/CIFER.1996.501824
