Assessment and optimization of biomedical waste management using Neutrosophic multi-criteria decision-making method

Abstract This paper proposes a multicriteria decision-making (MCDM) framework based on Neutrosophic TOPSIS, considering factors such as cost-effectiveness, health and safety, regulatory compliance, environmental impact, and technological feasibility. The framework is informed by expert recommendations and recent literature. Next, in comparison with predetermined benchmarks. The results show that recycling is the best choice since it can minimise waste, recover resources, and save the environment. By taking subjectivity and uncertainties into consideration, this method aids decision-makers in selecting the best waste management solution while also enhancing the consistency and transparency of the process. The suggested strategy encourages eco-friendly waste management techniques in the biomedical sector and provides practitioners and policymakers with a useful tool to improve waste management systems. Recent literature and expert recommendations indicate a pressing need for an advanced multicriteria decision-making framework that can comprehensively evaluate biomedical waste management options. The Neutrosophic technique is particularly well-suited for this purpose, as it integrates linguistic assessments to handle uncertainties and subjective judgments. Given the significant environmental and public health impacts of improper waste disposal, this research aims to provide a robust and transparent decision-making tool that can guide practitioners and policymakers toward more sustainable waste management practices. By evaluating real data from a medical facility, this study demonstrates the practical applicability and effectiveness of the proposed Neutrosophic TOPSIS-based method.

Authors

Institutions

Publication Details

Journal
Engineering Research Express
Published
2024-12-24
DOI
https://doi.org/10.1088/2631-8695/ada33d
Citations
4
Primary Topic
Healthcare and Environmental Waste Management
Type
article
Field-Weighted Citation Impact
2.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment and optimization of biomedical waste management using Neutrosophic multi-criteria decision-making method

Divyashri Ramanathan Nagarajan, A. Kanchana, V Parthasarathy
4 citations
Engineering Research Express
Healthcare and Environmental Waste Management
2.17
article

Assessment and optimization of biomedical waste management using Neutrosophic multi-criteria decision-making method

Divyashri Ramanathan Nagarajan, A. Kanchana, V Parthasarathy
article en
4 citations

Abstract

Abstract This paper proposes a multicriteria decision-making (MCDM) framework based on Neutrosophic TOPSIS, considering factors such as cost-effectiveness, health and safety, regulatory compliance, environmental impact, and technological feasibility. The framework is informed by expert recommendations and recent literature. Next, in comparison with predetermined benchmarks. The results show that recycling is the best choice since it can minimise waste, recover resources, and save the environment. By taking subjectivity and uncertainties into consideration, this method aids decision-makers in selecting the best waste management solution while also enhancing the consistency and transparency of the process. The suggested strategy encourages eco-friendly waste management techniques in the biomedical sector and provides practitioners and policymakers with a useful tool to improve waste management systems. Recent literature and expert recommendations indicate a pressing need for an advanced multicriteria decision-making framework that can comprehensively evaluate biomedical waste management options. The Neutrosophic technique is particularly well-suited for this purpose, as it integrates linguistic assessments to handle uncertainties and subjective judgments. Given the significant environmental and public health impacts of improper waste disposal, this research aims to provide a robust and transparent decision-making tool that can guide practitioners and policymakers toward more sustainable waste management practices. By evaluating real data from a medical facility, this study demonstrates the practical applicability and effectiveness of the proposed Neutrosophic TOPSIS-based method.

Engineering Research ExpressVol. 7(1)
Chennai Mathematical Institute (IN), Saveetha University (IN)
Openalex Percentile: Top 11%
Healthcare and Environmental Waste Management
2.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.