ArticleScientific reports2024
An integrated approach to occupational health risk assessment of manufacturing nanomaterials using Pythagorean Fuzzy AHP and Fuzzy Inference System.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- An integrated hybrid HAZOP and fuzzy analytic hierarchy process framework for enhanced safety risk prioritization in process industries.Scientific reports · 2026Article
- Development and empirical validation of a multi-criteria decision-making model for the assessment of noise-induced hearing loss (NIHL) in high-exposure industrial settings.BMC public health · 2026Article
- Effectiveness of dilution ventilation in mitigating occupational exposure to volatile organic compounds (VOCs) at the breathing zone of nail technicians: a simulation study.Scientific reports · 2026Article
- Integrated Polymeric Sensors in Heart and Blood Vessel Monitoring: A Review.Sensors (Basel, Switzerland) · 2025Review
- An interval type-2 fuzzy multi-criteria decision-making approach for patient bed allocation.Scientific reports · 2025Article
- Article
- Soft cluster-rectangle method for eliciting criteria weights in multi-criteria decision-making.Scientific reports · 2025Article
- Introducing FMEA plus method for comprehensive safety risk assessment in the steel industry.PloS one · 2025Article
- Exploring the Potential of Endophytic Microorganisms and Nanoparticles for Enhanced Water Remediation.Molecules (Basel, Switzerland) · 2024Review
- q-Rung orthopair fuzzy 2-tuple linguistic WASPAS algorithm for patients' prioritization based on prioritized Maclaurin symmetric mean aggregation operators.Scientific reports · 2024Article
- Design and study of mine silo drainage method based on fuzzy control and Avoiding Peak Filling Valley strategy.Scientific reports · 2024Article
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3 authors.
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Abstract
Nanomaterials (NMs) have the potential to be hazardous owing to their unique physico-chemical properties. Therefore, the need for Health Risk Assessment (HRA) of NMs is expanding. In this study, a novel HRA was developed by the Pythagorean Fuzzy Health Risk Assessment (PFHRA) approach. Risk is considered to be the outcome of parameters including Occurrence Likelihood (OL), Potential Exposure (PE) and Toxic Effects (TE). In our proposed method, priority weights of sub-factors in Pythagorean Fuzzy-Analytical Hierarchical Process (PF-AHP) were determined by pairwise comparison based on expert judgment. After determining parameter scores, both RM and risk class (i.e., negligible, minor, major and critical) were reported as Fuzzy Inference System (FIS) output. Ultimately, a risk management strategy is presented for NMs manufacturing workplaces. This proposed method provides experts with more flexibility to express their opinions. The PFHRA approach was applied for two scenarios. The production scenario for SiNPs can create minor (5%) and major (95%) occupational health risks; the production scenario for ZnONPs can create minor (100%) concerns. However, the production SiNPs and ZnONPs utilizing the CB Nanotool technique had a major and minor risk class, respectively. The results of the present study confirmed the reliability and applicability of this approach.
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