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Archimedean [formula omitted]-norm and [formula omitted]-conorm coupled q-rung orthopair fuzzy TOPSIS method for unknown criteria weighting information.

Authors :
Komal
Source :
Expert Systems with Applications. Dec2024, Vol. 257, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

To evaluate some real-life multi-criteria decision-making (MCDM) problems, the decision-makers (DMs) need an interactive and flexible MCDM approach that works well for extended decision-making space and has the ability to apply any suitable operational laws to fuse the information under incomplete criteria weighting information. The objective of this study is to propose a multi-criteria group decision-making (MCGDM) approach to evaluate any real-life MCDM problem under incomplete criteria weighting information. To achieve the objective, the paper proposes an integrated MCGDM approach in which the q -rung orthopair fuzzy set (q-ROFS) is used to provide the extended decision-making space to the DMs, a transformative approach is applied to find the DMs' weights, the maximizing deviation method is implemented to find the criteria weights, Archimedean t -norm and t -conorm (ATU)-based operational laws are adopted to fuse the information, and the TOPSIS method is applied to rank the alternatives. The proposed integrated MCGDM approach has been applied to a real-life MCDM problem associated with the evaluation of different strategies implemented by governments to contain the COVID-19 pandemic. A sensitivity analysis is conducted to examine the impact of changes in the parameters involved in the proposed MCGDM approach on the results. A comparative analysis is also performed with some existing classical and aggregation operator-based MCDM methods to demonstrate the consistency of the proposed approach. Findings suggest that the proposed MCGDM approach is general and flexible enough to evaluate any real-life MCDM problem under unknown criteria weighting conditions. • The paper proposes ATU based qROF-TOPSIS method for unknown criteria weights. • The method applies q-ROFS to quantify uncertainty and ATU to fuse the information. • The maximizing deviation method is used to evaluate the criteria weights. • The TOPSIS method is applied to rank the alternatives. • The method is applied to evaluate government strategies against COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09574174
Volume :
257
Database :
Academic Search Index
Journal :
Expert Systems with Applications
Publication Type :
Academic Journal
Accession number :
179507056
Full Text :
https://doi.org/10.1016/j.eswa.2024.125048