Neutrosophic Sets and Systems
Abstract
This study proposed a decision machining methodology to identify and evaluate the risks based on the livestock supply chain (LSC). The risks related to LSC are identified and collected by the opinion of the experts and decision-makers. We collected 11 LSC criteria and nine alternatives. We proposed an uncertainty framework to deal with uncertainty and vague information in the evaluation process. We used the type-2 neutrosophic set (T2NSs) to deal with vague data. The T2NSs were proposed under multi objective optimization based on simple ratio analysis (MOOSRA) to rank the alternatives. We identified nine strategies to reduce risks in LSC. The results show that operational risks have the highest weights. We applied sensitivity analysis to show the different ranks of alternatives under different criteria weights. The results show the proposed method is stable under different weights. Finally, we conducted a comparative analysis between other methods to show the robustness of the proposed method.
Recommended Citation
Salamai, Abdullah Ali. "A Robust Neutrosophic Model for Risk Management in Livestock Supply Chains: A Case Study Towards Sustainable Practices." Neutrosophic Sets and Systems 78, 1 (2025). https://digitalrepository.unm.edu/nss_journal/vol78/iss1/12
