Your browser doesn't support javascript.
loading
Sustainable assessment of plastic and mixed waste disposal problem during COVID-19 pandemic: an integrated multi-criteria decision-making approach.
Kang, Daekook; Anuja, Arumugam; Ahmadian, Ali; Manirathinam, Thangaraj; Shanmugam, Ponnan; Narayanamoorthy, Samayan.
Afiliação
  • Kang D; Department of Industrial and Management Engineering, Institute of Digital Anti-aging Healthcare, Inje University, 197 Inje-ro, Gimhae-si, Gyeongsangnam-do Republic of Korea.
  • Anuja A; Department of Mathematics, Bharathiar University, Coimbatore, 641 046 India.
  • Ahmadian A; Decisions Lab, Mediterranea University of Reggio Calabria, Reggio Calabria, Italy.
  • Manirathinam T; Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.
  • Shanmugam P; Department of Mathematics, Bharathiar University, Coimbatore, 641 046 India.
  • Narayanamoorthy S; Department of Economics, Bharathiar University, Coimbatore, 641 046 India.
Environ Dev Sustain ; : 1-26, 2023 Apr 04.
Article em En | MEDLINE | ID: mdl-37362972
ABSTRACT
This article focuses on India's inorganic solid waste disposal problem, with a particular emphasis on plastic and mixed waste. It aims to identify the current COVID-19 pandemic situation as well as provide a suitable disposal technique for wastes that are specifically related to municipal solid waste management. We propose an integrated approach to disposing of paper and plastic and mixed wastes in an interval-valued q-rung orthopair fuzzy (IVq-ROF) environment for this problem. In this case, we use the FUCOM method to calculate the weight values of the criteria and the MABAC method to rank the alternatives based on the chosen criteria. To confirm the effectiveness of the proposed method, a numerical illustration is provided, and validation of the suggested method is also shown.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Dev Sustain Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Dev Sustain Ano de publicação: 2023 Tipo de documento: Article