Analysis of a local search heuristic for facility location problems
Journal of Algorithms
New stochastic models for capacitated location-allocation problem
Computers and Industrial Engineering
Modeling capacitated location-allocation problem with fuzzy demands
Computers and Industrial Engineering
The modes of convergence in the approximation of fuzzy random optimization problems
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on Uncertainty Analysis and Decision Making; Guest Editors: Yan-Kui Liu, Baoding Liu, Jinwu Gao
Computers & Mathematics with Applications
Type-2 fuzzy variables and their arithmetic
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Convergent results about the use of fuzzy simulation in fuzzy optimization problems
IEEE Transactions on Fuzzy Systems
Hi-index | 0.00 |
This work develops a new fuzzy version of single-source capacitated facility location problem (FLP), in which a set of capacitated facilities is selected to provide service to demand points with possibility distributions at the minimal total cost. Since the proposed FLP includes credibility service level constraints and 0-1 decision variables, its solution method is a challenge issue for research, and usually relies on metaheuristics and approximation approach. However, for frequently used trapezoidal, Gamma and Normal fuzzy demands, the FLPs are equivalent to deterministic 0-1 programming problems. As a consequence, the equivalent 0-1 programming problems can be solved by general purpose software or conventional optimization algorithms. At the end of this paper, we demonstrate the developed modeling idea via numerical experiments.