Zobrazeno 1 - 10
of 413
pro vyhledávání: '"Muhammad Shabir"'
Autor:
Asma Bashir, Hafiz Muhammad Asif Javed, Muhammad Abdul Wasay, Muhammad Shabir Mahr, Muhammad Zafar Iqbal
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 8, Pp 1-16 (2024)
Abstract We formulate the variance-based uncertainty relations (URs) via the Robertson’s inequality, for a 2-particle entangled system constrained on a torus and subject to a stationary magnetic field $$\mathcal {\vec {B}}$$ B → . We explore the
Externí odkaz:
https://doaj.org/article/9463293490944dac8335c130c78f7d9f
Publikováno v:
Manazhim, Vol 6, Iss 2, Pp 465-477 (2024)
This paper will discuss the role of Islamic religious education in schools in the formation of students' character. Character education has become a special concern in Indonesia through its integration in every subject since 2010. Moreover, Al-Islam
Externí odkaz:
https://doaj.org/article/a4cea53b3d1b4f5bacbb33bc9413e5db
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4351-4372 (2024)
Abstract The rough set (RS) and multi-granulation rough set (MGRS) theories have been successfully extended to accommodate preference analysis by substituting the equivalence relation (ER) with the dominance relation (DR). On the other hand, bipolari
Externí odkaz:
https://doaj.org/article/d7bd4877271c4f50bc9f128fa9fcf3de
Autor:
Huie Lu, Muhammad Shabir Shaharudin
Publikováno v:
Cogent Business & Management, Vol 11, Iss 1 (2024)
The digital revolution has fundamentally changed how businesses create value. Small and medium enterprises (SMEs), with their limited resources, must adapt to this new landscape to maintain a competitive edge through digital transformation (DT). This
Externí odkaz:
https://doaj.org/article/123531ea44b9456db074270bd1524daa
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35942- (2024)
Aczel-Alsina t-norm and t-conorm are intrinsically flexible and endow Aczel-Alsina aggregation operators with greater versatility and robustness in the aggregation process than operators rooted in other t-norms and t-conorm families. Moreover, the li
Externí odkaz:
https://doaj.org/article/364909acaac34c63bd4f5e604160d106
Publikováno v:
IEEE Access, Vol 12, Pp 67681-67703 (2024)
Preference analysis is a significant component in decision-making (DM) when selecting an optimal alternative. By comparing any two alternatives pairwise, preference relations (PRs) effectively depict the preference degrees of decision-makers (DMrs).
Externí odkaz:
https://doaj.org/article/66cc821baccb43c884b4da813370ab8d
Publikováno v:
IEEE Access, Vol 12, Pp 53549-53564 (2024)
The notion of linear Diophantine fuzzy sets (LD-FSs) is a novel mechanism to combat uncertainties in decision analysis. Due to reference parameters associated with membership grade (MG) and non-membership grade (NMG), LD-FS is more efficient and reli
Externí odkaz:
https://doaj.org/article/3fcc9548e9414d8e88fa088181b9bcb2
Publikováno v:
AIMS Mathematics, Vol 8, Iss 11, Pp 25888-25921 (2023)
The rough set (RS) and multi-granulation RS (MGRS) theories have been successfully extended to accommodate preference analysis by substituting the equivalence relation (ER) with the dominance relation (DR). On the other hand, the bipolar fuzzy sets (
Externí odkaz:
https://doaj.org/article/5331af4114e74b8ab9fc0ae230520f32
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 6, Pp 7197-7212 (2023)
Abstract Fuzzy set (FS) theory and rough sets (RSs) are constructed to accommodate the data uncertainty. In contrast, the bipolar FS (BFS) theory can tackle the uncertainty and the bipolarity of the data in different circumstances. This article aims
Externí odkaz:
https://doaj.org/article/9b930fa9619944d0bf6b8778ee556760
Publikováno v:
AIMS Mathematics, Vol 8, Iss 8, Pp 18185-18205 (2023)
Data uncertainty is a barrier in the decision-making (DM) process. The rough set (RS) theory is an effective approach to study the uncertainty in data, while bipolar soft sets (BSSs) can handle the vagueness and uncertainty as well as the bipolarity
Externí odkaz:
https://doaj.org/article/f2461ef3eaa8414785832c73d70c1865