Hybrid evolutionary method for obstacle location-allocation
ICC&IE '94 Proceedings of the 17th international conference on Computers and industrial engineering
Chance constrained programming with fuzzy parameters
Fuzzy Sets and Systems
Minimax chance constrained programming models for fuzzy decision systems
Information Sciences: an International Journal
Random fuzzy dependent-chance programming and its hybrid intelligent algorithm
Information Sciences—Informatics and Computer Science: An International Journal
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
Expected value operator of random fuzzy variable and random fuzzy expected value models
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
New stochastic models for capacitated location-allocation problem
Computers and Industrial Engineering
Dependent-chance programming with fuzzy decisions
IEEE Transactions on Fuzzy Systems
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Facility location via fuzzy modeling and simulation
Applied Soft Computing
Survey: Facility location dynamics: An overview of classifications and applications
Computers and Industrial Engineering
A robust critical path in an environment with hybrid uncertainty
Applied Soft Computing
Interactive random fuzzy two-level programming through possibility-based probability model
Information Sciences: an International Journal
| Hi-index | 0.00 |
Facility location-allocation (FLA) problem is widely used in practical life. Many papers have introduced the problem with the random or fuzzy demands of customers, but few give the case that the customers' demands are random fuzzy. In this paper, the expected cost minimization model, (@a,@b)-cost minimization model and chance maximization model are presented with random fuzzy demands. In order to solve these random fuzzy models, the simplex algorithm, random fuzzy simulations and genetic algorithm are integrated to produce a hybrid intelligent algorithm. Finally, some numerical examples are provided for the sake of illustration.