DocumentCode :
2414942
Title :
Credibility Based Fuzzy Portfolio Selection
Author :
Huang, Xiaoxia
Author_Institution :
Univ. of Sci. & Technol. Beijing, Beijing
fYear :
0
fDate :
0-0 0
Firstpage :
159
Lastpage :
163
Abstract :
This paper discusses portfolio selection problem with fuzzy returns. Different from other researches in fuzzy portfolio selection, this paper selects portfolio based on credibility measure instead of possibility measure. In addition, different from Markowitz´s mean-variance modelling idea, this paper regards a portfolio with a relatively high variance as safe if its expected value is sufficiently high. One new fuzzy optimization model is provided, and a hybrid intelligent algorithm is presented to solve the model problem in general cases. One numerical example is also given for the sake of illustration.
Keywords :
fuzzy set theory; investment; optimisation; Markowitz mean-variance modelling; credibility measure; fuzzy portfolio selection; hybrid intelligent algorithm; investment; optimization; possibility measure; Analysis of variance; Costs; Finance; Fuzzy set theory; Investments; Portfolios; Risk analysis; Security; Stochastic processes; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
Type :
conf
DOI :
10.1109/FUZZY.2006.1681709
Filename :
1681709
Link To Document :
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