Affiliation:
1. Islamia University of Bahawalpur
Abstract
Abstract
Healthcare waste management is an important component of healthcare systems around the world, with significant consequences for public health and environmental sustainability. Traditional waste disposal procedures frequently fail to meet the complex and unpredictable nature of healthcare waste, which may contain potentially toxic compounds. This article proposes the notion of Linguistic Intuitionistic Fuzzy Dombi Power Weighted Averaging to improve decision-making in healthcare waste management (LIFDPWA). LIFDPWA is a unique aggregation operator that successfully combines linguistic intuitionistic fuzzy information while allowing varied degrees of uncertainty in decision-makers' inputs. This paper digs into the theoretical underpinnings of Linguistic Intuitionistic Fuzzy sets and the LIFDPWA operator, elucidates a thorough multi-criteria decision-making approach, and applies it to the complex domain of healthcare waste disposal. By combining insights from a diverse range of decision-making processes and healthcare management practices, this study provides a solid foundation for addressing the complex difficulties related with healthcare waste management. The suggested strategy offers healthcare practitioners and policymakers with a helpful tool for optimizing healthcare waste management while protecting both communities and the environment.
Publisher
Research Square Platform LLC