Structural transformation of fuzzy analytical hierarchy process: a relevant case for Covid-19

Covid-19 has posed difficult and challenging situations to the supply chains companies are in fix how choose vendors under uncertainty complexity recent years. Therefore, this research aims incorporate structural transformation of fuzzy analytical hierarchy process (FAHP) that is most appropriate for disruption caused by like situation ensuring supplies from vendors. The conventional approaches vendor selection evaluation use numerous multi-criteria decision-making tools may not ensure reliability a dynamic due Covid-19. In research, Fleiss’ Kappa method ensures responses eight respondents using pairwise comparisons assigning weights as envisaged FAHP. addition determine responses, step FAHP been altered. This alteration demonstrated case scenario. suggests plausible system required address uncertainties associated with select evaluate modifying proposed altered mechanism can be incorporated similar type other circumstances such Covid-19, where decision-makers more than one, very dynamic. study likely facilitate information management, algorithmic development decision making, or machine-driven decisions uncertain conditions. offers managerial implications purchase managers accommodate combine multiple factors concerning performances their evaluation, thus making reliable.