2020
DOI: 10.1016/j.uclim.2020.100587
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Prioritizing and weighting determinants of workers' heat stress control using an analytical network process (ANP) a field study

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Cited by 17 publications
(11 citation statements)
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“…According to standards, WBGT index for different times of day during shift work is calculated using the followig formula [ 13 , 18 ]: where is average time weighted wet bulb glob temperature, is measurement time and is measured wet bulb glob temperature at .…”
Section: Methodsmentioning
confidence: 99%
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“…According to standards, WBGT index for different times of day during shift work is calculated using the followig formula [ 13 , 18 ]: where is average time weighted wet bulb glob temperature, is measurement time and is measured wet bulb glob temperature at .…”
Section: Methodsmentioning
confidence: 99%
“…According to standards, WBGT index for different times of day during shift work is calculated using the followig formula [13,18]:…”
Section: Measurementsmentioning
confidence: 99%
“…The AHP method is used to obtain the weights associated to the comparisons performed, which correspond to corresponding 1-entries in the influence matrix. This enables to build the so-called unweighted super-matrix, expressing various effects of interdependency on different elements of the process [48] . In this step, the clusters’ mutual influence is also compared, and a vector of corresponding priorities is obtained and put aside.…”
Section: Methodsmentioning
confidence: 99%
“…The ANP, a method derived from the analytic hierarchy process (AHP) proposed by Saaty (1996), adds the dependence and feedback relationships to the AHP and provides a more generalised framework than the AHP for dealing with decision-making problems in which there is a need to consider assumptions about dependencies between criteria and alternatives (Matin et al, 2020). The ANP uses a super matrix algorithm to determine the priority weights of the goals, criteria, and alternatives.…”
Section: Analytic Network Process (Anp)mentioning
confidence: 99%