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Showing 2 results for Novin
V Novin , S Givehchi , H Hoveidi ,
Volume 6, Issue 5 (winter 2016)
Abstract
Background & objectives: Uncertainty and variability are inevitably included in health risk assessment. The objective of this study is to develop an integrated approach to evaluate risks of benzene using fuzzy logic to consider variety of factors and actual respiration rate of cases.
Methods: This is a descriptive analytic study. In this study an integration model was created based on fuzzy logic and it was invented by using fuzzy toolbox in Matlab software, then by using IRIS instruction, the CDI rate and cancer and non-cancer risk was calculated. A questionnaire was also prepared to expand on the Information about jobs, activities, tasks and sites came from interviews with employees. �Active sampling was performed within a week for each season and finally 280 samples were collected after one year.
Results: The results of air sampling have shown the concentration of benzene in the air at the site and loading units is beyond the standard (PEL-TWA). results of risk assessment indicates that among� different groups , due to more contacts with pollutants, cancer risk in people working in loading Units is higher than the Standard measure , and requires controlling action.
Conclusion: The proposed approach handles the uncertainties in health risk assessment using combination of probability and fuzzy set theory. The results show that the assessment of risk with this method will cover wide range of affective factors and risk assessment will be dealt with more details and explanations.
V* Novin , Hr Jafari , H Hoveidi ,
Volume 13, Issue 3 (autumm 2022)
Abstract
Background & objectives: Safety, health, and environmental management systems are implemented and operationalized to provide, maintain, and promote the health of individuals, society, and the environment. Therefore, the main purpose of this study is to develop a model of the HSE management system and use it in sustainable development planning based on artificial intelligence based on data theory.
Methods: This research is applied and exploratory in terms of research purpose. Qualitative and quantitative data were collected using questionnaires and among the statistical population selected from universities, Environment Organizations, health centers, and various industries in Tehran in 1399. The data processing theory of the foundation uses open coding, axial coding, selective coding, and SPSS software, MaxQDA, to analyze data.
Results: The results of this study show that the validation of the model confirms the final model according to the method of review of participants and review of non-participating experts, and also, all Cronbach's alpha numbers and the combined reliability of latent variables are appropriate.
Conclusion: Intense to intelligent identification of consequences and risks and strategic and continuous thinking on safety, health, and environment make the multiple structures of sustainable development strong and static. The results indicate the sustainable development of simultaneous access to all components or dimensions with a systemic approach and a holistic mental perception that the individual dimensions and the relationships between them must be considered.
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