Zobrazeno 1 - 10
of 4 586
pro vyhledávání: '"Soft set"'
Publikováno v:
Jurnal Lebesgue, Vol 5, Iss 2, Pp 1171-1176 (2024)
This article presents an illustration of the application of combining the concepts of Strait Fuzzy Set and Strait Soft Set involving "fuzzy" and "soft" data to solve a problem in the decision-making process. From this illustration, a condition is con
Externí odkaz:
https://doaj.org/article/7f830563544a4e71bb26290bfbb8040a
Publikováno v:
Jurnal Lebesgue, Vol 5, Iss 2, Pp 1304-1308 (2024)
In this paper, an application of N-soft set on data with grouped objects will be presented using the construction concept in strait soft set theory to solve a problem in the decision-making process. For each parameter, a weight value will be determin
Externí odkaz:
https://doaj.org/article/e97eb10f660c41a7b7ca45383f9c503e
Autor:
Muhammad Zeeshan, Madad Khan, Ramsha Shafqat, Ali Althobaiti, Saad Althobaiti, Tola Bekene Bedada
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Complex fuzzy soft matrices play a crucial role in various applications, including decision-making, pattern recognition, signals processing, and image processing. The main objective of this study is to introduce the unique notions of complex
Externí odkaz:
https://doaj.org/article/5dc517169f204d1c97f8c9895786c87a
Publikováno v:
Journal of Inequalities and Applications, Vol 2024, Iss 1, Pp 1-16 (2024)
Abstract Complex neutrosophic soft groups represent a significant advancement in handling uncertainty by integrating the concepts of fuzzy logic, soft sets, and neutrosophic logic. These groups generalize complex fuzzy soft groups and introduce an ad
Externí odkaz:
https://doaj.org/article/71c93a8c372648e09dd2e76f1ba32570
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-29 (2024)
Abstract In this manuscript we demonstrate interval-valued bipolar complex fuzzy set (IVBCFS) and then interval-valued bipolar complex fuzzy soft set (IVBCFSS), as a generalization of fuzzy set, interval-valued fuzzy set, bipolar fuzzy set, complex f
Externí odkaz:
https://doaj.org/article/854c68ca195c444e90cd1d62fba59013
Autor:
R. Narmada Devi, Yamini Parthiban
Publikováno v:
Neutrosophic Sets and Systems, Vol 66, Pp 76-94 (2024)
The empirical correlation system serves as a crucial tool for unveiling the linear interconnections between two variables. Its significance lies in providing a prominent approach to depict a straightforward relationship without explicitly indicating
Externí odkaz:
https://doaj.org/article/01a8f80c4548489481a6e91e3bfaf383
Autor:
Hatice Tasbozan
Publikováno v:
AIMS Mathematics, Vol 9, Iss 4, Pp 9447-9454 (2024)
In this article, the notion of near neutrosophic soft sets $ (Nss) $ is obtained by combining the notion of $ Nss $ and the notion of near approximation space. Accordingly, a new set was obtained by restricting the set of features with the help of th
Externí odkaz:
https://doaj.org/article/b2dd1faf60fd4ffea9e708f13201df1f
Publikováno v:
IEEE Access, Vol 12, Pp 32218-32237 (2024)
AI-powered robots contain many sensors, such as vision devices like 2D/3D cameras, vibration sensors, proximity sensors, accelerometers, and other environmental sensors. These sensors enable real-time sensing data to be obtained and analyzed. Here, t
Externí odkaz:
https://doaj.org/article/9ee378bca5da47f388e29eee54a8f055
Autor:
Muhammad Sajid, Khuram Ali Khan, Atiqe Ur Rahman, Sanaa A. Bajri, Alhanouf Alburaikan, Hamiden Abd El-Wahed Khalifa
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36508- (2024)
To address the shortcomings of the cubic intuitionistic fuzzy sets (CIFSs) for the entitlement of multi-argument approximate function, the cubic intuitionistic fuzzy hypersoft set (Ω-set) is an emerging study area. This type of setting associates th
Externí odkaz:
https://doaj.org/article/437b818f23ec4962b13413b959b9e1aa
Publikováno v:
Journal of Computing Research and Innovation, Vol 9, Iss 2 (2024)
Maji et al. expanded on soft set theory by introducing fuzzy soft set theory, offering a versatile approach for tackling problems marked by uncertainty and fuzziness, while effectively modelling and representing data. The authors developed a matrix r
Externí odkaz:
https://doaj.org/article/c305de9f71a24e528691fa867ff4400a