Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Muhammad Umar Mirza"'
Publikováno v:
IEEE Access, Vol 12, Pp 143675-143694 (2024)
In multi-criteria decision-making (MCDM) situations, it is widely noticed that the resolution method is impacted by the existence of imprecise information and uncertainty in the decision maker’s assessment. Existing fuzzy models are insufficient in
Externí odkaz:
https://doaj.org/article/ac9e54f95e0342858910393c71aa182c
Publikováno v:
IEEE Access, Vol 12, Pp 73633-73641 (2024)
This study introduces a ground-breaking approach to analyzing dihedral groups through the lens of fuzzy graph theory, significantly enhancing computational efficiency in group theory. By extending the fuzzy topological indices to polynomial forms, th
Externí odkaz:
https://doaj.org/article/f0ce640258164ed39b7ef79c70f6d2ad
Publikováno v:
AIMS Mathematics, Vol 8, Iss 12, Pp 30922-30939 (2023)
This article presents a set of generalized $ \wp $-dependent formulae for fuzzy and crisp versions of various graph indices, including the first and second Zagreb indices, harmonic index and Randic index. These formulae are applied to the identity gr
Externí odkaz:
https://doaj.org/article/92e922f75767455c84710668a5c7fee0
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 1, Pp 135-145 (2022)
In this paper, a computational approach based on the operational matrices in conjunction with orthogonal shifted Legendre polynomials (OSLPs) is designed to solve numerically the multi-order partial differential equations of fractional order consisti
Externí odkaz:
https://doaj.org/article/ec92a7f1f92c47518ebcadd3eef21eeb
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 1, Pp 135-145 (2022)
In this paper, a computational approach based on the operational matrices in conjunction with orthogonal shifted Legendre polynomials (OSLPs) is designed to solve numerically the multi-order partial differential equations of fractional order consisti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65d63bb209b2d838816f8c744e71567e
http://www.sciencedirect.com/science/article/pii/S1110016821003094
http://www.sciencedirect.com/science/article/pii/S1110016821003094