A probabilistic hesitant fuzzy MCDM approach to evaluate India's intervention strategies against the COVID-19 pandemic

• Main Authors: Jeon, J., Suvitha, K., Arshad, N.I., Kalaiselvan, S., Narayanamoorthy, S., Ferrara, M., Ahmadian, A.
• Format: Article
• Published: Elsevier Ltd 2023
• Online Access: http://scholars.utp.edu.my/id/eprint/37319/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169893404&doi=10.1016%2fj.seps.2023.101711&partnerID=40&md5=a4cbddba63015a2bc9fea2329ed5a680

The unprecedented coronavirus pandemic (COVID-19) has wreaked havoc across the globe. The Covid-19 pandemic has affected all countries, including government intervention programs, thus becoming a significant threat. This study aims to develop a hybrid fuzzy multi-criteria decision-making (F-MCDM) mo...