2023
DOI: 10.1016/j.dajour.2023.100317
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An integrated interval programming and input–output knowledge model for risk and resiliency management

Dragan Pamucar,
Bishal Dey Sarkar,
Vipulesh Shardeo
et al.
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Cited by 4 publications
(3 citation statements)
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“…Mascaretti et al (2022) provide an extensive list of researchers, who underline OECD's input-output tables -IOTs (OECD, 2022)being a powerful instrument, used to represent and analyse the production structure of an economy, perform impact analysis, or estimate the effects of various shocks, affecting economic activity at different geographic levels. Pamucar et al (2023) (Eurostat, 2013). In other words, it consists of country's goods and services that are either transformed or used up by the production process.…”
Section: Resilience Evaluation Methodsmentioning
confidence: 99%
“…Mascaretti et al (2022) provide an extensive list of researchers, who underline OECD's input-output tables -IOTs (OECD, 2022)being a powerful instrument, used to represent and analyse the production structure of an economy, perform impact analysis, or estimate the effects of various shocks, affecting economic activity at different geographic levels. Pamucar et al (2023) (Eurostat, 2013). In other words, it consists of country's goods and services that are either transformed or used up by the production process.…”
Section: Resilience Evaluation Methodsmentioning
confidence: 99%
“…Mascaretti et al (2022) underlined the OECD's IOTs as powerful instruments for representing and analysing the production structure of an economy, performing impact analyses or estimating the effect of various shocks at different geographic levels. Pamucar et al (2023) employed the IOTs to model the industrial interdependencies through the product inputs. IC consists of a country's goods and services that are either consumed or transformed during the production process (Eurostat, 2013).…”
Section: Literature Reviewmentioning
confidence: 99%
“…By meticulously quantifying stress factors, potential failures, and their consequences, these models empower decision makers to proactively identify vulnerabilities and allocate safety investments more effectively [22]. Additionally, mathematical modeling excels in handling unpredictability in high-risk environments, enabling an assessment of the effects of varying conditions and unforeseen events [23]. Consequently, it aids in safeguarding lives and assets but, above all, fosters a proactive approach to risk mitigation for critical systems, making them resilient in the face of the unknown.…”
Section: Existing Modeling Approachesmentioning
confidence: 99%