Lopez, C. Et Al. 2022. A calibrated Fuzzy Best-Worst-method to reinforce supply chain resilience during the COVID 19 pandemic. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY , vol.74, no.9 , 1968-1991.

Lopez, C., Ishizaka, A., GÜL, M., Yucesan, M., & Valencia, D., (2022). A calibrated Fuzzy Best-Worst-method to reinforce supply chain resilience during the COVID 19 pandemic. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY , vol.74, no.9, 1968-1991.

Lopez, Cristina Et Al. "A calibrated Fuzzy Best-Worst-method to reinforce supply chain resilience during the COVID 19 pandemic," JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY , vol.74, no.9, 1968-1991, 2022

Lopez, Cristina Et Al. "A calibrated Fuzzy Best-Worst-method to reinforce supply chain resilience during the COVID 19 pandemic." JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY , vol.74, no.9, pp.1968-1991, 2022

Lopez, C. Et Al. (2022) . "A calibrated Fuzzy Best-Worst-method to reinforce supply chain resilience during the COVID 19 pandemic." JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY , vol.74, no.9, pp.1968-1991.

@article{article, author={Cristina Lopez Et Al. }, title={A calibrated Fuzzy Best-Worst-method to reinforce supply chain resilience during the COVID 19 pandemic}, journal={JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY}, year=2022, pages={1968-1991} }