%0 Journal Article %1 journals/cejor/YazdanparastTHA21 %A Yazdanparast, Reza %A Tavakkoli-Moghaddam, Reza %A Heidari, Razieh %A Aliabadi, Leyla %D 2021 %J Central Eur. J. Oper. Res. %K dblp %N 2 %P 611-631 %T A hybrid Z-number data envelopment analysis and neural network for assessment of supply chain resilience: a case study. %U http://dblp.uni-trier.de/db/journals/cejor/cejor29.html#YazdanparastTHA21 %V 29

@article{journals/cejor/YazdanparastTHA21, added-at = {2024-05-07T00:00:00.000+0200}, author = {Yazdanparast, Reza and Tavakkoli-Moghaddam, Reza and Heidari, Razieh and Aliabadi, Leyla}, biburl = {https://www.bibsonomy.org/bibtex/2140d7afed25eee71a777fba5fe302386/dblp}, ee = {https://doi.org/10.1007/s10100-018-0596-x}, interhash = {6184a08d44ca5b39c1dfc3d5e1eea87d}, intrahash = {140d7afed25eee71a777fba5fe302386}, journal = {Central Eur. J. Oper. Res.}, keywords = {dblp}, number = 2, pages = {611-631}, timestamp = {2024-05-13T07:08:08.000+0200}, title = {A hybrid Z-number data envelopment analysis and neural network for assessment of supply chain resilience: a case study.}, url = {http://dblp.uni-trier.de/db/journals/cejor/cejor29.html#YazdanparastTHA21}, volume = 29, year = 2021 }