Resilience evaluation of low-carbon supply chain based on improved matter-element extension model

• DOI: 10.1371/journal.pone.0301390
• Publication Date: 2024-04-01T17:25:32Z
• Authors: Xiaochun Luo; Kai Kang; Lin Lu; Changliang Yu; Chaoling Li; Beibei Li; Song Hu; Xia Qi; Yaomei Zhou
• Keywords: Resilience

How to evaluate the resilience level and change trend of supply chain is an important research direction in current management practice. This paper proposes a new method assessment based on hesitant fuzzy linguistic term set (HFLTS) matter element extension theory. Firstly, status quo at home abroad, low-carbon enterprise index system established, which includes six first-level indicators corresponding 21 second-level product resilience, resource partner information response financial knowledge resilience. Secondly, HFLTS was used collect expert opinions Ordered Weighted Arithmetic (OWA) calculate composite language, by evaluation matrix obtained. Once again, indicator weights are determined game-theoretic portfolio assignment combining best-worst (BWM) CRITIC method. Finally, nearness degree function combined with comprehensive improve model, model enterprises game theory combination assignment-improved established. Taking X as example, results show that this II, eigenvalue grade variable 2.69, shifting III, indicates being enhanced. Therefore, improved not only ensures accuracy results, but also has higher prediction accuracy.