DocumentCode
498969
Title
The K-T conditions for portfolio selection problem in fuzzy decision system
Author
Liu, Ying ; Hao, Fang-Fang
Author_Institution
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China
Volume
2
fYear
2009
fDate
12-15 July 2009
Firstpage
860
Lastpage
865
Abstract
This paper introduces a type of mean-variance model for portfolio selection problem, in which the security returns are assumed to be fuzzy variables. To solve the portfolio problem, this paper applies the variance formulas to the proposed model so that the original optimization problem can be reduced to the deterministic one, which can be solved by applying Kuhn-Tucker (K-T) conditions. A numerical example is presented to demonstrate the proposed method.
Keywords
fuzzy set theory; investment; Kuhn-Tucker condition; fuzzy decision system; mean-variance model; portfolio selection problem; Cybernetics; Fuzzy systems; Machine learning; Portfolios; Fuzzy variable; K-T conditions; expected value; portfolio selection; variance;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212386
Filename
5212386
Link To Document