Original scientific paper

https://doi.org/10.17559/TV-20240829001952

Enhanced Multi-Attribute Group Decision-Making under Uncertainty: A Novel Interval-Valued Fuzzy Linguistic Approach

Xun Zhang ; School of Economics and Management, Beijing Jiaotong University, 100044, Beijing, China
Jun Wang ; School of Economics and Management, Beijing University of Chemical Technology, 100029, Beijing, China *

* Corresponding author.

Abstract

Handling uncertainty and hesitancy is a fundamental challenge in multi-attribute group decision-making (MAGDM). To address this, we introduce Interval-Valued Probabilistic Uncertain Linguistic Pythagorean Fuzzy Sets (IVPULPFSs), a new decision model that integrates interval-valued probabilistic representations with uncertain linguistic evaluations. This study proposes two novel MAGDM approaches: (1) an aggregation-based ranking method, and (2) a TODIM-based decision model incorporating psychological behaviours of decision-makers. To validate the effectiveness of these methods, we apply them to real-world decision-making problems, including human resource selection and doctoral thesis evaluation. The results demonstrate that IVPULPFS-based methods outperform existing fuzzy decision models by providing greater accuracy, flexibility, and robustness in handling uncertainty. This study offers a scalable decision-support framework for applications in finance, risk assessment, supply chain management, and intelligent transportation systems.

Keywords

interval-valued probabilistic uncertain linguistic Pythagorean fuzzy sets; multi-attribute group decision-making; probabilistic dual hesitant linguistic Pythagorean fuzzy set;

Hrčak ID:

332850

URI

https://hrcak.srce.hr/332850

Publication date:

29.6.2025.

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