Download PDFOpen PDF in browserApproach for Multi-Criteria Decision-Making in the Assessment of Smart Nanomaterials for Environmental Remediation.EasyChair Preprint 1422813 pages•Date: July 30, 2024AbstractThis paper introduces a robust Grey-Analytic Network Process (Grey-ANP) approach, designed to improve the assessment and selection of smart nanomaterials for environmental remediation. By integrating the flexibility of Grey Systems Theory with the structured prioritization of the Analytic Network Process (ANP), our methodology addresses the inherent uncertainties and interdependencies among evaluation criteria. The Grey-ANP approach systematically incorporates expert judgments and quantitative data to evaluate critical factors such as material properties, environmental impact, cost-effectiveness, and regulatory compliance. Case studies on the application of various nanomaterials, including carbon nanotubes, graphene-based materials, and metal-oxide nanoparticles, demonstrate the efficacy of the Grey-ANP method in providing comprehensive, reliable decision support. Our findings suggest that the Grey-ANP approach offers a robust framework for stakeholders to make informed, balanced decisions in the deployment of smart nanomaterials, ultimately contributing to more sustainable and effective environmental remediation strategies. Keyphrases: Chemistry, Education, Technology, network, science
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