2-Tuple Linguistic q-Rung Orthopair Fuzzy Power MSM Approach for Choosing Sustainable Waste Disposal Technology

Articles in Press

Document Type : Article

Authors

1 Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan

2 Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan

3 Department of Pure Mathematics, Faculty of Mathematics and Computer, Shahid Bahonar university of Kerman, Kerman, Iran.

Abstract

The municipal solid waste generation rate in Asian cities is dramatically increasing with rising urbanization and conventional interaction. However, as in many other cities in developing countries, the strategy for MSW disposal is neither environmentally sustainable nor appropriate for human health in Karachi. An enormous yield can be generated from Karachi’s solid waste, but it all depends on awareness and the implementation of appropriate technology. The selection of waste disposal technology is a sensitive issue in the research area of MSW management. This study considers the decision-making process as multi-attribute group decision-making problem that also handles uncertainty to select a sustainable waste disposal technology. For this purpose, 2-tuple linguistic q-rung orthopair fuzzy sets are used to permit decision-makers to make assessments in a broader space and to depict the unreliability and vague-ness in making real decisions using 2TL terms. 2TLq-ROFS provides a more effective strategy for handling imprecise and ambiguous information in the decision-making situation by using 2TL terms. The Maclaurin symmetric mean operator is a tool that can take into account interrelations between arguments.
Furthermore, some relevant properties of these operators are mentioned. We develop an elegant MAGDM approach using the 2TLq-ROFWPMSM operator.

Keywords

Main Subjects

Scientia Iranica

Articles in Press, Accepted Manuscript
Available Online from 11 April 2023

Files

History

  • Receive Date: 21 July 2022
  • Revise Date: 12 November 2022
  • Accept Date: 11 April 2023

Share

How to cite

Statistics