A group decision making support system in logistics and supply chain management
Morteza Yazdani, Pascale Zarate, Adama Coulibaly, Edmundas Kazimieras Zavadskas
Abstract: This paper designs a group decision making system to interface decision makers and customer values in order to aid agricultural partners and investors in the selection of third party logistic providers. Moreover, we have figured out a decision support system under fuzzy linguistic variables is able to assist agricultural parties in uncertain situations. This integrated and efficient decision support system enhances quality and reliability of the decision making.
Cite as: Yazdani, M., Zarate, P., Coulibaly, A., & Zavadskas, E. K. (2017). A group decision making support system in logistics and supply chain management. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2017.07.014