A mean-absolute deviation-skewness portfolio optimization model
Annals of Operations Research
Computation of mean-semivariance efficient sets by the Critical Line Algorithm
Annals of Operations Research
Chance constrained programming with fuzzy parameters
Fuzzy Sets and Systems
A note on chance constrained programming with fuzzy coefficients
Fuzzy Sets and Systems
A model for portfolio selection with order of expected returns
Computers and Operations Research
Portfolio selection based on fuzzy probabilities and possibility distributions
Fuzzy Sets and Systems
A possibilistic approach to selecting portfolios with highest utility score
Fuzzy Sets and Systems - Special issue: Soft decision analysis
Neural network-based mean-variance-skewness model for portfolio selection
Computers and Operations Research
Asset portfolio optimization using fuzzy mathematical programming
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
Portfolio selection based on fuzzy cross-entropy
Journal of Computational and Applied Mathematics
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Entropy of Credibility Distributions for Fuzzy Variables
IEEE Transactions on Fuzzy Systems
Mean-Entropy Models for Fuzzy Portfolio Selection
IEEE Transactions on Fuzzy Systems
Application notes: dynamic physical behavior analysis for financial trading decision support
IEEE Computational Intelligence Magazine
The multi-depot capacitated location-routing problem with fuzzy travel times
Expert Systems with Applications: An International Journal
Mean-risk model for uncertain portfolio selection
Fuzzy Optimization and Decision Making
Information Sciences: an International Journal
How to handle uncertainties in AHP: The Cloud Delphi hierarchical analysis
Information Sciences: an International Journal
Multiobjective credibilistic portfolio selection model with fuzzy chance-constraints
Information Sciences: an International Journal
Hi-index | 7.29 |
Portfolio selection theory with fuzzy returns has been well developed and widely applied. Within the framework of credibility theory, several fuzzy portfolio selection models have been proposed such as mean-variance model, entropy optimization model, chance constrained programming model and so on. In order to solve these nonlinear optimization models, a hybrid intelligent algorithm is designed by integrating simulated annealing algorithm, neural network and fuzzy simulation techniques, where the neural network is used to approximate the expected value and variance for fuzzy returns and the fuzzy simulation is used to generate the training data for neural network. Since these models are used to be solved by genetic algorithm, some comparisons between the hybrid intelligent algorithm and genetic algorithm are given in terms of numerical examples, which imply that the hybrid intelligent algorithm is robust and more effective. In particular, it reduces the running time significantly for large size problems.