Capturing attitudinal characteristics of decision-makers in group decision making: application to select policy recommendations to enhance supply chain resilience under COVID-19 outbreak

نویسندگان

چکیده

The impact of COVID-19 on the global outbreak supply chain is enormous. It crucial for governments to take policy recommendations enhance resilience mitigate negative COVID-19. For such a major issue, it common occurrence that large number decision-makers (DMs) are invited participate in decision-making process so as ensure comprehensiveness and reliability decision results. Since attitudinal characteristics DMs important factors affecting results, this study focuses capturing large-scale group making process. combines ordinal k-means clustering algorithm, gained lost dominance score method personalized quantifiers. To enable express their cognitions depth, we use probabilistic linguistic term set evaluation information DMs. A case selecting optimal recommendation improving integration capability given illustrate applicability proposed superiority algorithm highlighted through sensitive analysis comparative analysis.

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ژورنال

عنوان ژورنال: Operations Management Research

سال: 2021

ISSN: ['1936-9735', '1936-9743']

DOI: https://doi.org/10.1007/s12063-020-00170-z