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 …
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 …
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 …
This paper proposes a multi-attribute group decision-making methodology that takes advantage of a new weighted geometric mean aggregation operator on intuitionistic fuzzy …
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 …
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 …
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 …
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 …
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 …