Evaluation of sustainable cold chain suppliers using a combined multi-criteria group decision-making framework under fuzzy ZE-numbers

F Ecer, G Haseli, R Krishankumar… - Expert Systems with …, 2024 - Elsevier
Health 4.0 actively focuses on cold supply chains (CSCs) due to digital transformation and
technological advancements in refrigeration. With the ill effects of climate change and …

Fermatean fuzzy sets and its extensions: a systematic literature review

G Büyüközkan, D Uztürk, Ö Ilıcak - Artificial Intelligence Review, 2024 - Springer
Abstract The Fermatean Fuzzy Set (FFS) theory emerges as a crucial and prevalent tool in
addressing uncertainty across diverse domains. Despite its recognized utility in managing …

The extended weighted t-norms-based linear hybrid aggregation function and its application for aggregating improved basic uncertain linguistic information

Y Yang, M Jie, Y Zhao, L Liu, J Yang, J Chen - Engineering Applications of …, 2024 - Elsevier
In recent decades, the Archimedean triangular norm (t-norm) and Archimedean triangular
conorm (t-conorm) have been fundamental theories in the design and construction of …

Integrated approach for sustainable development and investment goals: analyzing environmental issues in European economies

G Kou, S Yüksel, H Dinçer, M A. Hefni - Annals of Operations Research, 2024 - Springer
Environmental issues play a crucial role in achieving sustainable development goals
(SDGs). In this context, countries may not have the budget to improve all factors at the same …

A multi-criteria decision-making method based on discrete Z-numbers and Aczel-Alsina aggregation operators and its application on early diagnosis of depression

D Ren, X Ma, H Qin, S Lei, X Niu - Engineering Applications of Artificial …, 2025 - Elsevier
In mental health diagnostics, the questionnaire is an effective and cost-effective method.
However, the traditional questionnaire test methods for depression and anxiety have great …

Modeling and multi-objective optimization of a drill-string system in the trip** operation

X Peng, B Yue, G Li, Z Qiu, H Yang - Nonlinear Dynamics, 2024 - Springer
The increase in deep and ultra-deep wells demands higher drilling efficiency and more
drilling safety. Since the undesired oscillation associated with the trip** in/out of the drill …

A two-stage stochastic preference analysis on group decision making with interval additive preference relations

J Li, L Zhou, L Martínez, M Deveci, Q Wu - Expert Systems with Applications, 2024 - Elsevier
Interval additive preference relation (IAPR) is an efficient tool for describing the uncertain
pairwise comparisons between alternatives in group decision-making (GDM). Existing GDM …

Self-confidence and consensus-based group decision making methods and applications

P Yi, S Wang, W Li - Information Sciences, 2024 - Elsevier
As the field of intelligent decision making continues to evolve, research on multi-attribute
group decision making (MAGDM) is advancing at a steady pace. Nevertheless, existing …

Normal wiggly probabilistic hesitant fuzzy-based TODIM approach for optimal solid waste disposal method selection

J Ali, D Pamucar - Heliyon, 2025 - cell.com
The normal wiggly probabilistic hesitant fuzzy set (NWPHFS) enhances the conventional
probabilistic hesitant fuzzy set (PHFS) by capturing not only explicit probabilistic information …

Fault-tolerant heading control for a bionic gliding robotic dolphin with flipper faults

Y Zhang, Z Wu, J Wang, S Li, M Tan - Ocean Engineering, 2024 - Elsevier
This paper presents a fault-tolerant heading-control method for a bionic gliding robotic
dolphin operating in the presence of flipper faults. To achieve both high manoeuvrability and …