Group decision-making method with Pythagorean fuzzy rough number for the evaluation of best design concept

M Akram, S Zahid - Granular Computing, 2023 - Springer
A rough set is important for the reduction of attributes of an information system, since it
approximates a subset of a universal set based on some binary connection. A Pythagorean …

Distance measures and -approximations with rough complex fuzzy models

M Sarwar, M Akram, S Shahzadi - Granular Computing, 2023 - Springer
Rough set theory is a key approach to model and apprehend the situations involving
uncertainty without additional information and suppositions. Complex fuzzy sets are useful in …

Extended CODAS method for multi-attribute group decision-making based on 2-tuple linguistic Fermatean fuzzy Hamacher aggregation operators

M Akram, Z Niaz, F Feng - Granular Computing, 2023 - Springer
The 2-tuple linguistic model initiated by Herrera and Martinez has become one of the most
useful computing with words approaches. It provides an effective way of representing the …

Multi-criteria group decision-making for energy production from municipal solid waste in Iran based on spherical fuzzy sets

K Zahid, M Akram - Granular Computing, 2023 - Springer
Energy production from the waste is an innovative idea to be implemented that can
significantly raise one's energy production capacity via some adaptable waste-to-energy …

Multi-attribute group decision-making based on intuitionistic fuzzy aggregation operators defined by weighted geometric means

JCR Alcantud - Granular Computing, 2023 - Springer
This paper proposes a multi-attribute group decision-making methodology that takes
advantage of a new weighted geometric mean aggregation operator on intuitionistic fuzzy …

An efficient spherical fuzzy MEREC–CoCoSo approach based on novel score function and aggregation operators for group decision making

G Wan, Y Rong, H Garg - Granular Computing, 2023 - Springer
The major objective of the current investigation is to build an integrated multiple criteria
group decision-making (MCGDM) methodology based on combined compromise solution …

A multi-criteria framework for addressing digitalization solutions of medical system under interval-valued T-spherical fuzzy information

Z Yang, T Zhang, H Garg, K Venkatachalam - Applied Soft Computing, 2022 - Elsevier
With the help of Internet technology, digital reform of the medical system has gradually
sprung up and begun to reconstruct the medical and health industry chain and service …

[PDF][PDF] Extended CODAS method for MAGDM with 2-tuple linguistic T-spherical fuzzy sets

M Akram, S Naz, G Santos-García, MR Saeed - AIMS Math, 2023 - aimspress.com
In the literature, extensions of common fuzzy sets have been proposed one after another.
The recent addition is spherical fuzzy sets theory, which is based on three independent …

Analysis and application of -spherical fuzzy Aczel–Alsina aggregation operators in multiple criteria decision-making

J Ali - Granular Computing, 2024 - Springer
This study focuses on the development and application of Aczel–Alsina (AA) aggregation
operators (AOs) in the context of r, s, t-spherical fuzzy set (SPFS) for multi-criteria decision …

A novel multi-attribute decision-making approach based on T-spherical fuzzy Aczel Alsina Heronian mean operators

A Hussain, K Ullah, H Garg, T Mahmood - Granular Computing, 2024 - Springer
In the modern era, transportation has also become more expensive due to fluctuations in the
prices of fuels and gasses. We demonstrate an efficient transportation system to cope with …