Prioritizing heat stress indices for cognitive performance assessment using a Fuzzy Delphi-FAHP framework
Researchers have developed a framework using Fuzzy Delphi and Analytic Hierarchy Process methods to identify the best heat stress indices for assessing cognitive performance. The study concludes that physiologically grounded indices like the Universal Thermal Climate Index are more effective than traditional empirical metrics.
Why it matters
Improving how we measure heat-related cognitive impairment is critical for workplace safety and reducing accident risks in extreme environments.
Scientific Reports ( 2026 ) Cite this article
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