Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Ahmad Termimi Ab Ghani"'
Publikováno v:
Journal of Nigerian Society of Physical Sciences, Vol 6, Iss 4 (2024)
The hesitant fuzzy set (HFS) is an innovative approach to decision-making under uncertainty. This work is primarily concerned with the HFS decision matrix’s aggregated operation. The introduction of induced VIKOR procedures, various extensions of H
Externí odkaz:
https://doaj.org/article/77793b7d32e54199a2e62061a3f645bd
Publikováno v:
International Journal of Industrial Engineering and Production Research, Vol 33, Iss 4, Pp 1-15 (2022)
This is a systematic literature review that discusses the contribution of fuzzy analytic (FA) and multi-criteria decision-making (MCDM) methods in classroom assessment. Due to lack of knowledge and not being exposed to the importance and benefits of
Externí odkaz:
https://doaj.org/article/68f0852baf624edb808d6102281e7a7a
Autor:
Muhammad Bilal Khan, Muhammad Aslam Noor, Khalida Inayat Noor, Ahmad Termimi Ab Ghani, Lazim Abdullah
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
In this article, our aim is to consider a class of fuzzy mixed variational-like inequalities (FMVLIs) for fuzzy mapping known as extended perturbed fuzzy mixed variational-like inequalities (EPFMVLIs). As exceptional cases, some new and classically d
Externí odkaz:
https://doaj.org/article/75c30027a308421796de2bac11013cd1
Publikováno v:
Journal of Mathematical and Fundamental Sciences, Vol 52, Iss 2 (2020)
The current study provides a new class of ξ(as)-QSO defined on 2D simplex and classifies it into 18 non-conjugate (isomorphic) classes. This classification is based on their conjugacy and the remuneration of coordinates. The current study also exa
Externí odkaz:
https://doaj.org/article/dba5b604b8764eb3bda9186a3c618589
Autor:
Siti Nur Aisyah Mohd Zainal1, Ahmad Termimi Ab Ghani1 termimi@umt.edu.my, Mohd Lazim Abdullah1
Publikováno v:
TEM Journal. May2023, Vol. 12 Issue 2, p1048-1055. 8p.
Autor:
Mohamad Ariffin Abu Bakar, Ahmad Termimi Ab Ghani, Mohd Lazim Abdullah, Norulhuda Ismail, Salmi Ab Aziz
Publikováno v:
TEM Journal. :1942-1951
Students' mathematics learning ability should always be assessed, predicted and given appropriate interventions. However, due to lack of exposure and knowledge to mechanisms of neuroscience and Adaptive neuro-fuzzy inference system (ANFIS), both elem
Publikováno v:
JOURNAL OF SUSTAINABILITY SCIENCE AND MANAGEMENT. 17:148-161
Learning mathematics is strongly related to brain function. Neuroscience research has defined how different areas of the brain will mechanise and respond to the complex process of learning mathematics. This interrelationship requires practical detail
Previous literature suggest that fuzzy control charts are more sensitive than conventional one hence, it provides better quality and conformance of products. However, it is known that much of the data used in manufacturing sector cannot be expressed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6cd4f5f88b38590470af7f93c6305c5
https://doi.org/10.21203/rs.3.rs-1267050/v1
https://doi.org/10.21203/rs.3.rs-1267050/v1
Publikováno v:
International Journal of Engineering Trends and Technology. :180-188
Publikováno v:
Journal of Mathematics and Computer Science. 21:213-230