Zobrazeno 1 - 10
of 60
pro vyhledávání: '"hypersoft sets"'
Autor:
Muhammad Saqlain, Xiao Long Xin, Rana Muhammad Zulqarnain, Imran Siddique, Sameh Askar, Ahmad M. Alshamrani
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 31317-31365 (2024)
The selection of energy suppliers is important for sustainable energy management, as selecting the most appropriate suppliers reduces the environmental impact and improves resource optimization through sustainable practices. Our primary objective of
Externí odkaz:
https://doaj.org/article/7f4edd1580fd457b8526c4627a1f03d4
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e27886- (2024)
Intuitionistic fuzzy hypersoft sets (IFHSSs) are a novel model that is projected to address the limitations of Intuitionistic fuzzy soft sets (IFSSs) regarding the entitlement of a multi-argument domain for the approximation of parameters under consi
Externí odkaz:
https://doaj.org/article/26191ea38cd848e781c2215410df44c0
Publikováno v:
Neutrosophic Sets and Systems, Vol 61, Pp 100-117 (2023)
The complex process of decision-making is addressed in this study, especially when dealing with diverse factors and input from several specialists. In the context of m-polar interval-valued neutrosophic hypersoft sets (m-PIVNHSSs), the paper proposes
Externí odkaz:
https://doaj.org/article/3dc89867e981438a91df15339dbaa8e2
Autor:
V.S. Subha, R. Selvakumar
Publikováno v:
Neutrosophic Sets and Systems, Vol 58, Pp 226-247 (2023)
The aim of this work is to introduce the new notion of Neutrosophic hypersoft rough set and study its properties. Neutrosophic hypersoft rough set is a generalization of Neutrosophic soft rough set. The notion of Neutrosophic hypersoft rough set has
Externí odkaz:
https://doaj.org/article/27d90b5159e641d8bb44f0c070deb77b
Publikováno v:
IEEE Access, Vol 12, Pp 3187-3199 (2024)
Pythagorean fuzzy hypersoft sets (PFHSSs) are a novel model that is projected to address the limitations of Pythagorean fuzzy soft sets (PFSSs) regarding the entitlement of a multi-argument domain for the approximation of parameters under considerati
Externí odkaz:
https://doaj.org/article/11423ecc02574728aa44f27b1d4877e4
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 4, p 50 (2024)
This article presents a pioneering mathematical model, fuzzy bipolar hypersoft (FBHS) sets, which combines the bipolarity of parameters with the fuzziness of data. Motivated by the need for a comprehensive framework capable of addressing uncertainty
Externí odkaz:
https://doaj.org/article/14f752c8188646cf98084fb1d0c26035
Autor:
Daniela Gifu
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8799 (2024)
In the dynamic arena of healthcare research, where the complexities of data often rival the intricacies of biological systems, the ability to model and analyze such multifaceted datasets is crucial. This comprehensive review delves into the evolution
Externí odkaz:
https://doaj.org/article/2a43784ba8d045c48435d925b570ab3d
Akademický článek
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Publikováno v:
Neutrosophic Sets and Systems, Vol 55, Pp 58-89 (2023)
Decision-making is a complex issue, especially for attributes being more than one and further bifurcated. Correlation analysis plays an important role in decision-making problems. For neutrosophic hypersoft sets (NHSSs), they have bifurcated sub-attr
Externí odkaz:
https://doaj.org/article/2d20860c0fe04f03a623c222e7b1ffca
Autor:
Sagvan Y. Musa, Baravan A. Asaad
Publikováno v:
Neutrosophic Sets and Systems, Vol 51, Pp 666-680 (2022)
Connectedness (resp. disconnectedness), which reflects the key characteristic of topological spaces and helps in the differentiation of two topologies, is one of the most significant and fundamental concept in topological spaces. In light of this, we
Externí odkaz:
https://doaj.org/article/bc7236bd6c344827ab6a53ab18e1127d