A fully Fermatean fuzzy multi-objective transportation model using an extended DEA technique

M Akram, S Shahzadi, SMU Shah, T Allahviranloo - Granular Computing, 2023 - Springer
A mathematical technique called data envelope analysis is used to determine the relative
efficiency of decision-making units (DMU) with numerous inputs and outputs. Compared to …

Decision making framework based Fermatean fuzzy integrated weighted distance and TOPSIS for green low-carbon port evaluation

S Yang, Y Pan, S Zeng - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Green low-carbon port (GLCP) development and evaluation have gained increase attention
in recent years. However, the uncertain assessment procedure and complex index in the …

MARCOS approach based upon cubic Fermatean fuzzy set and its application in evaluation and selecting cold chain logistics distribution center

Y Rong, L Yu, W Niu, Y Liu, T Senapati… - … Applications of Artificial …, 2022 - Elsevier
The evaluation and selection of cold chain logistics distribution center (CCLDC) possesses
important strategic significance for enterprises to optimize logistics network. This paper firstly …

Warehouse site selection for the automotive industry using a fermatean fuzzy-based decision-making approach

A Saha, D Pamucar, OF Gorcun, AR Mishra - Expert Systems with …, 2023 - Elsevier
The automotive industry is one of the most competitive sectors, and it requires a well-
structured logistics system to meet the industry'vital requirements such as just-in-time, lean …

The blockchain technology selection in the logistics industry using a novel MCDM framework based on Fermatean fuzzy sets and Dombi aggregation

ÖF Görçün, D Pamucar, S Biswas - Information Sciences, 2023 - Elsevier
Logistics is a sophisticated system involving third-party logistics (3PL) providers, freight
forwarders, warehousing companies, and transport service producers in various transport …

Fermatean fuzzy step-wise Weight Assessment Ratio Analysis (SWARA) and its application to prioritizing indicators to achieve sustainable development goal-7

E Ayyildiz - Renewable Energy, 2022 - Elsevier
Abstract The Sustainable Development Goals have been developed with the aim of
ensuring that no individual living in the world is left behind from the social, economic and …

Low-carbon cities comprehensive evaluation method based on Fermatean fuzzy hybrid distance measure and TOPSIS

S Zeng, J Gu, X Peng - Artificial Intelligence Review, 2023 - Springer
Low-carbon city (LCC) quality evaluation is getting increasingly attention in recent years.
However, uncertainty decision-making processes and complicated indicators in LCC …

Service quality evaluation of crowdsourcing logistics platform based on Fermatean fuzzy TODIM and regret theory

Y Pan, S Zeng, W Chen, J Gu - Engineering Applications of Artificial …, 2023 - Elsevier
The service quality valuation of crowdsourcing logistics platforms can be considered as a
typical multi-index evaluation issue. Fermatean fuzzy numbers can fully express uncertain …

Modified EDAS method for MCDM in robotic agrifarming with picture fuzzy soft Dombi aggregation operators

H Dhumras, RK Bajaj - Soft Computing, 2023 - Springer
In recent decades, robotics and automation technologies play an emerging role in the area
of agriculture development. In the present communication, the concept of digital farming in …

Multicriteria decision-making based on distance measures and knowledge measures of Fermatean fuzzy sets

AH Ganie - Granular Computing, 2022 - Springer
Fermatean fuzzy sets are more powerful than fuzzy sets, intuitionistic fuzzy sets, and
Pythagorean fuzzy sets in handling various problems involving uncertainty. The distance …