Determination and weighting the effective criteria in selecting a heat stress index using the Delphi technique and fuzzy analytic hierarchy process (FAHP)

Introduction: To evaluate heat stress in the workplace different indices are used. But, none of these measures have been widely accepted. The aim of this study was to determine effective criteria in selecting a heat stress index and weighting of these criteria. Material and Method:  This study is a...

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Published inBihdāsht va īmanī-i kār Vol. 7; no. 1; pp. 23 - 32
Main Authors Mahdi Asghari, Parvin Nassiri, Mohammad Reza Monazzam, Farideh Golbabaei, Hossein Arabalibeik, Ali Akbar Shamsipour, Armin Allahverdy
Format Journal Article
LanguagePersian
Published Tehran University of Medical Sciences 01.04.2017
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Summary:Introduction: To evaluate heat stress in the workplace different indices are used. But, none of these measures have been widely accepted. The aim of this study was to determine effective criteria in selecting a heat stress index and weighting of these criteria. Material and Method:  This study is a qualitative study that was designed and conducted within 10 stages. In the current study, effective criteria for choosing a heat stress index was determined by using Delphi technique and expert’s opinions (30 people), and then the fuzzy analytic hierarchy process was used for weighting and prioritization of these criteria. Results: Analyzing the completed questionnaires by the experts and according to the percentage of respondents, 11 criteria were finally selected. “Simplicity” criteria by %76.6 had the highest percentage of response. But, the relative weight of this criteria was 0.041, and had the lowest weight after the “low cost” criteria.  The criteria relating to the “Standard” item was 0.141as the highest relative weight. Conclusion: It can be concluded that the first step to have a reliable and accurate measurement is to choose a proper and correct index. Based on specialists and expert’s opinions, standardization of the index is the most important selection criteria. Other criteria that must be considered were accuracy, reliability and good correlation with the physiological strain indices.
ISSN:2251-807X
2383-2088