Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Bin Azim A"'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 15149-15171 (2024)
Green supplier selection has been an important technique for environmental sustainability and reducing the harm of ecosystems. In the current climate, green supply chain management (GSCM) is imperative for maintaining environmental compliance and com
Externí odkaz:
https://doaj.org/article/b00c664dce914d31bdc45081e8210cff
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35059- (2024)
Neutrosophic sets provide greater versatility in dealing with a variety of uncertainties, including independent, partially independent, and entirely dependent scenarios, which q-ROF soft sets cannot handle. Indeterminacy, on the other hand, is ignore
Externí odkaz:
https://doaj.org/article/3fc64963940c4d1eb4971e2033993924
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e34698- (2024)
This study introduces innovative operational laws, Einstein operations, and novel aggregation algorithms tailored for handling q-spherical fuzzy rough data. The research article presents three newly designed arithmetic averaging operators: q-spherica
Externí odkaz:
https://doaj.org/article/9e373f42762f4a9d84aeefba9a9b67a3
Publikováno v:
IEEE Access, Vol 12, Pp 140380-140411 (2024)
The combination of q-spherical fuzzy sets and rough sets has emerged as a useful paradigm for fuzzy mathematics and decision-making. The hybrid structure of q-spherical fuzzy sets and rough sets has shown to be useful in the fields of fuzzy mathemati
Externí odkaz:
https://doaj.org/article/8d38666fa79f4b6a982699c4365e7230
Publikováno v:
IEEE Access, Vol 12, Pp 114100-114122 (2024)
Multi-criteria decision-making (MCDM) approaches prove to be effective and reliable in addressing problems under uncertain conditions. The q-spherical fuzzy rough set (q-SFRS) represents the latest advancement in fuzzy set theory. This article aims t
Externí odkaz:
https://doaj.org/article/2e4f38375ae543bba3069c294e621022
Publikováno v:
IEEE Access, Vol 12, Pp 104215-104241 (2024)
This study introduces a novel neural network approach integrating q-spherical fuzzy rough Frank aggregation operators, aiming to enhance AI systems’ resilience to uncertain and imprecise data in military transport systems. Three new operators are d
Externí odkaz:
https://doaj.org/article/4281baf63edf40e68a9ad17f832da7cd
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e30758- (2024)
q-spherical fuzzy rough set (q-SFRS) is also one of the fundamental concepts for addressing more uncertainties in decision problems than the existing structures of fuzzy sets, and thus its implementation was more substantial. The well-known sine trig
Externí odkaz:
https://doaj.org/article/5b3289f3500c4e4fa68f34c268b897a7
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e31018- (2024)
This study investigates advanced data collection methodologies and their implications for understanding employee and customer behavior within specific locations. Employing a comprehensive multi-criteria decision-making framework, we evaluate various
Externí odkaz:
https://doaj.org/article/4adc581b2ab0421380b702f75dcb579e
Autor:
Bin Azim, Ahmad, Ali, Asad, Khan, Abdul Samad, Awwad, Fuad A., Ismail, Emad A.A., Ali, Sumbal
Publikováno v:
In Heliyon 30 May 2024 10(10)
Publikováno v:
AIMS Mathematics, Vol 8, Iss 8, Pp 18809-18832 (2023)
The Fourth Industrial Revolution, also known as Industry 4.0, is attracting a significant amount of attention because it has the potential to revolutionize a variety of industries by developing a production system that is fully automated and digitall
Externí odkaz:
https://doaj.org/article/5d4d66627eef45eaaf5d0c5e5ba78ee6