Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Constrained nonlinear programming
Optimization
Portfolio selection under independent possibilistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
A possibilistic approach to selecting portfolios with highest utility score
Fuzzy Sets and Systems - Special issue: Soft decision analysis
Possibilistic mean-variance models and efficient frontiers for portfolio selection problem
Information Sciences: an International Journal
Portfolio selection with fuzzy returns
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Mean-semivariance models for fuzzy portfolio selection
Journal of Computational and Applied Mathematics
Knowledge and Information Systems
Uncertainty Theory
An estimation model of value-at-risk portfolio under uncertainty
Fuzzy Sets and Systems
Portfolio selection problems with random fuzzy variable returns
Fuzzy Sets and Systems
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Mean-variance models for portfolio selection subject to experts' estimations
Expert Systems with Applications: An International Journal
A risk index model for portfolio selection with returns subject to experts' estimations
Fuzzy Optimization and Decision Making
Multiobjective credibilistic portfolio selection model with fuzzy chance-constraints
Information Sciences: an International Journal
Hi-index | 7.29 |
This paper discusses portfolio adjusting problems for an existing portfolio. The returns of risky assets are regarded as fuzzy variables and a class of credibilistic mean-variance adjusting models with transaction costs are proposed on the basis of credibility theory. Under the assumption that the returns of risky assets are triangular fuzzy variables, the optimization models are converted into crisp forms. Furthermore, we employ the sequential quadratic programming method to work out the optimal strategy. Numerical examples illustrate the effectiveness of the proposed models and the influence of the transaction costs in portfolio selection.