TY - GEN
T1 - Fuzzy chance constrained programming for warehouse location problem with imprecise customer demand
AU - Kayi, Ceren Buket
AU - Bozdag, Erhan
PY - 2012
Y1 - 2012
N2 - In this paper we applied fuzzy chance constrained programming with uncertain parameters to warehouse location problem. The problem studied in the paper has uncertain demand which necessitates the utilization of fuzzy numbers for representing the related demands. Fuzzy values being embedded in the objective function, in turn compels the implementation of credibility measure in the proposed model. The model is a hybrid intelligent algorithm integrating fuzzy simulation and genetic algorithm. Lastly, a numerical example is illustrated in order to demonstrate the validity of the algorithm.
AB - In this paper we applied fuzzy chance constrained programming with uncertain parameters to warehouse location problem. The problem studied in the paper has uncertain demand which necessitates the utilization of fuzzy numbers for representing the related demands. Fuzzy values being embedded in the objective function, in turn compels the implementation of credibility measure in the proposed model. The model is a hybrid intelligent algorithm integrating fuzzy simulation and genetic algorithm. Lastly, a numerical example is illustrated in order to demonstrate the validity of the algorithm.
UR - https://www.scopus.com/pages/publications/84892650023
U2 - 10.1142/9789814417747_0211
DO - 10.1142/9789814417747_0211
M3 - Conference contribution
AN - SCOPUS:84892650023
SN - 9789814417730
T3 - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
SP - 1311
EP - 1316
BT - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
PB - World Scientific Publishing Co. Pte Ltd
T2 - 10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
Y2 - 26 August 2012 through 29 August 2012
ER -