Work

Enhancing group decision-making through Type-2 Fermatean fuzzy sets

Year: 2026

Type: article

Abstract: This paper proposes an advanced group decision-making model based on Type-2 fermatean fuzzy sets (T2FFS), incorporating newly developed Hamming and Euclidean distance metrics. The proposed framework addresses the limitations of conventional fuzzy set approaches by improving and handling uncertainty and vagueness in expert evaluations. The distance metrics can effectively and accurately represent the inherent uncertainty and hesitation levels of decision makers when assessing alternatives, thereby avoiding one of the main limitations of existing type-1 and type-2 distance metrics in fuzzy environments. To demonstrate the model’s practical relevance, it is applied to a real-world problem involving selecting electric vehicles (EVs) for sustainable transportation. A comparative analysis with existing methodologies demonstrates the enhanced accuracy and reliability of the proposed technique.

Source: Fixed Point Theory and Algorithms for Sciences and Engineering

DOI: 10.1186/s13663-026-00830-y

Authors: Ausif Padder, Suhail Ahmad Ganai, Riyaz Ahmad Padder

Institutions: Symbiosis International University, Lovely Professional 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: $1,790

Funder: Symbiosis International University