A new correlation-based measure on Fermatean fuzzy applied on multi-criteria decision making for electric vehicle selection

S Golui, BS Mahapatra, GS Mahapatra - Expert systems with applications, 2024 - Elsevier
Purpose: Since the pollution from the transportation sector has become intolerable in urban
areas, many authorities are beginning to ban vehicles powered by fossil fuels. In this …

Evolved distance measures for circular intuitionistic fuzzy sets and their exploitation in the technique for order preference by similarity to ideal solutions

TY Chen - Artificial Intelligence Review, 2023 - Springer
Circular intuitionistic fuzzy (C-IF) sets are an up-and-coming tool for enforcing indistinct and
imprecise information in variable and convoluted decision-making situations. C-IF sets, as …

An intuitionistic fuzzy-based model for performance evaluation of EcoPorts

GC Yalçın, K Kara, A Toygar, V Simic… - … applications of artificial …, 2023 - Elsevier
The EcoPort performance level serves as a basic indicator to determine the environmental
status of a port and its achievement of certification standards. The European Sea Ports …

Behavioural three-way decision making with Fermatean fuzzy Mahalanobis distance: Application to the supply chain management problems

A Mondal, SK Roy - Applied Soft Computing, 2024 - Elsevier
Behavioural three-way decision making has superseded conventional two-way decision
making as a result of a surge in risk and complexity of decision making. Additionally …

A novel Fermatean fuzzy BWM-VIKOR based multi-criteria decision-making approach for selecting health care waste treatment technology

F Gao, M Han, S Wang, J Gao - Engineering Applications of Artificial …, 2024 - Elsevier
Medical waste management (MWM) is a challenging issue for medical facility managers
owing to its potential to prevent environmental and health risks. Many treatment …

Fermatean fuzzy covering-based rough set and their applications in multi-attribute decision-making

G Qi, M Atef, B Yang - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Rough set theory (RST) is a common and effective tool for data processing. In order to
extend the range of data that RST and its related theories can handle, scholars have …

Improved assessment model for health-care waste management based on dual 2-tuple linguistic rough number clouds

M Sarwar - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The management of medical waste disposal is a major challenge faced by different cities in
developing countries. The choice of optimal medical waste treatment technology is a …

An integrated multi-criteria decision-making approach for evaluating e-waste mitigation strategies

K Karuppiah, B Sankaranarayanan - Applied Soft Computing, 2023 - Elsevier
The need for effective electronic waste (e-waste) management practices has received wide
attention due to increased societal awareness; however, the existence of challenges adds …

[HTML][HTML] Decision optimization techniques for evaluating renewable energy resources for power generation in Ghana: MCDM approach

WO Sarkodie, EA Ofosu, BC Ampimah - Energy Reports, 2022 - Elsevier
Renewable energy sources are seen as future energy sources. Ensuring Ghana's future
economic growth requires a balanced energy mix. The study evaluates five renewable …

A hybrid multi-stage decision-making method with probabilistic interval-valued hesitant fuzzy set for 3D printed composite material selection

G Xie, K Wang, X Wu, J Wang, T Li, Y Peng… - … Applications of Artificial …, 2023 - Elsevier
The 3D printed composite material selection is of great interest due to its extensive
application prospect and can be considered as a challenging multiple-criteria decision …