Decision-Making in the Assessment of Smart Nanomaterials for Environmental Remediation.

EasyChair Preprint 14227

Abstract

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: Education, Environmental, Nano, mental health, science

@booklet{EasyChair:14227,
  author    = {John Owen},
  title     = {Decision-Making in the Assessment of Smart  Nanomaterials for Environmental Remediation.},
  howpublished = {EasyChair Preprint 14227},
  year      = {EasyChair, 2024}}