Quantification study of mental load state based on AHP–TOPSIS integration extended with cloud model: methodological and experimental research

Abstract Mental load affects the work efficiency and mental health of operators, it has a vital effect on reliability human–machine systems. In this study, evaluation index system operators’ was used to quantitatively evaluate state workers. The established by selecting indices from physiological parameters, subjective feelings, time perception. We propose an extended cloud model states that combines (CM) theory with analytic hierarchy process (AHP) technique for order preference similarity ideal solution (TOPSIS) provides levels. An energetic material initiation experiment conducted operators using proposed method, results fuzzy comprehensive questionnaire were verify performance method. show CM method scientifically reliably quantified state. Applying AHP-TOPSIS integration in new scientific studying quantification occupational workers hazardous environments. study are reference assessing personnel analyzing suitability dangerous posts.