Work

Interval-valued picture fuzzy decision-making framework with partitioned maclaurin symmetric mean aggregation operators

Year: 2024

Type: article

Abstract: Interval-valued picture fuzzy (IVPF) set is an extension of the picture fuzzy set theory used to represent uncertainty and vagueness in the processes of decision-making. This study focuses on exploring the interrelationships among multiple IVPFSs and criteria partitions. We investigate the IVPF partitioned Maclaurin symmetric mean operator and the weighted IVPF partitioned Maclaurin symmetric mean operator and discuss their respective properties. Subsequently, we identify certain special cases of these operators based on IVPF sets. Furthermore, we deploy a multi-criteria decision-making procedure utilizing the suggested IVPF partition operators. Through a numerical example, we demonstrate the practicality and validity of the presented approach. Finally, a thorough comparison with existing approaches is conducted to elucidate the superiority of the proposed method.

Source: Scientific Reports

DOI: 10.1038/s41598-024-72726-z

Authors: Muhammad Azeem, Jawad Ali, Jawad Ali, Muhammad I. Syam

Institutions: University of Agriculture Faisalabad, Quaid-i-Azam University, Kohat University of Science and Technology, United Arab Emirates University

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,590

OpenAlex ID: W4403117927