[HTML][HTML] Fermatean fuzzy Archimedean Heronian Mean-Based Model for estimating sustainable urban transport solutions

P Kakati, T Senapati, S Moslem, F Pilla - Engineering Applications of …, 2024 - Elsevier
Public transportation frameworks assume a critical role in the metropolitan region, especially
in huge urban communities, where they offer a feasible answer for easing gridlock …

[PDF][PDF] An application of the hybrid AHP-PROMETHEE approach to evaluate the severity of the factors influencing road accidents

P Trivedi, J Shah, S Moslem, F Pilla - Heliyon, 2023 - cell.com
The evaluation of the severity of the factors influencing road accidents with a detailed
severity distribution is critical to plan evidence-based road safety improvements and …

Fuzzy analytic hierarchal process for sustainable public transport system

HKY Al-Zibaree, M Konur - Journal of Operations Intelligence, 2023 - jopi-journal.org
The analytic The Analytic Hierarchy Process (AHP) is a well-established methodology for
tackling complex multi-criteria decision problems in practical contexts. However, like many …

An integrated decision support model for effective institutional coordination framework in planning for public transportation

MB Bouraima, J Oyaro, E Ayyildiz, M Erdogan… - Soft Computing, 2023 - Springer
The absence of effective coordination among different institutions involved in planning for
public transportation has become a prominent global concern. At present, numerous cities …

Evaluation of artificial intelligence-based solid waste segregation technologies through multi-criteria decision-making and complex q-rung picture fuzzy frank …

S Petchimuthu, H Kamacı, T Senapati - Engineering Applications of …, 2024 - Elsevier
In the 21st century, global waste challenges worsen in developing nations relying on
manual sorting. This improper waste disposal poses significant threats to human health and …

[HTML][HTML] Novel Fermatean Fuzzy Aczel–Alsina Model for Investment Strategy Selection

IU Haq, T Shaheen, W Ali, H Toor, T Senapati, F Pilla… - Mathematics, 2023 - mdpi.com
For choosing the optimal option for multiple issues, the multiattribute decision-making
(MADM) technique within a Fermatean fuzzy environment is a well-known and significant …

An extended MARCOS approach and generalized Dombi aggregation operators-based group decision-making for emergency logistics suppliers selection utilizing q …

Y Rong, L Yu - Granular Computing, 2024 - Springer
The evaluation and selection of emergency logistics suppliers (ELSs) is of great significance
for improving the disaster relief material reserve system and enhancing the efficient …

Enhancing healthcare supply chain management through artificial intelligence-driven group decision-making with Sugeno–Weber triangular norms in a dual hesitant …

T Senapati, A Sarkar, G Chen - Engineering Applications of Artificial …, 2024 - Elsevier
The healthcare industry faces numerous challenges in managing its supply chain efficiently,
where critical decisions must be made promptly to ensure the availability of essential …

Probabilistic dual hesitant Archimedean–Dombi operators for selection of sustainable materials

A Soni, R Nateriya, T Senapati - Soft Computing, 2023 - Springer
Compared to all extensions of fuzzy sets, probabilistic dual hesitant fuzzy (PDHF) sets are
considered preferable. Here, we merge the advantages of the Dombi and Archimedean …

[HTML][HTML] Double-layer multi-criteria group decision-making approach using neutralized possibility degree-based decision matrix with fuzzy information

S Hendiani, G Walther - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Multi-criteria group decision-making (MCGDM) problems are fundamentally characterized
by uncertainty and ambiguity. The quantification of such data is vital for determining the most …