Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Saqib Mazher Qurashi"'
Publikováno v:
AIMS Mathematics, Vol 8, Iss 5, Pp 11684-11708 (2023)
The quantale module introduced by Abramsky and Vickers, engaged a large number of researchers. This research article focuses the combined behavior of rough set, soft set and an algebraic structure quantale module with the left action. In fact, the pa
Externí odkaz:
https://doaj.org/article/fc7816a16a2b4cb28d5a813fd70118f3
Autor:
Saqib Mazher Qurashi, Bander Almutairi, Rani Sumaira Kanwal, Anthony Karageorgos, Ayesha Saeed
Publikováno v:
IEEE Access, Vol 11, Pp 145897-145914 (2023)
This research paper has developed a way of roughness of fuzzy substructures by using soft relations for developing rough fuzzy substructures in Quantale module. Thus, an innovative concept of fuzzy substructures of Quantale module under rough environ
Externí odkaz:
https://doaj.org/article/3d53d87b152c4715b2e550b433c27f24
Publikováno v:
IEEE Access, Vol 11, Pp 88778-88794 (2023)
In this research article, a new connection between serial fuzzy relations and an extended version of rough sets in an algebraic structure quantale is established. The extended notion of rough sets consists of successor class and an overlap of the suc
Externí odkaz:
https://doaj.org/article/0af7d67641564425a2c508ad0f5e9c36
Autor:
Saqib Mazher Qurashi, Muhammad Gulzar, Rani Sumaira Kanwal, Dilruba Akter, Muhammad Shawaiz Safdar
Publikováno v:
Complexity, Vol 2023 (2023)
In this paper, we use an algebraic structure quantale and define the idea of fuzzy soft substructures as a generalization of fuzzy substructures in quantale. These fuzzy soft substructures include fuzzy soft subquantales, fuzzy soft ideals, fuzzy sof
Externí odkaz:
https://doaj.org/article/0b3852cbbdbb410bb515fd3a871cc768
Autor:
Mohammed M. Al-Shamiri, Rashad Ismail, Saqib Mazher Qurashi, Fareeha Dilawar, Faria Ahmed Shami
Publikováno v:
Journal of Mathematics, Vol 2023 (2023)
Unpredictability and fuzziness coexist in decision-making analysis due to the complexity of the decision-making environment. “Pythagorean fuzzy numbers” (PFNs) outperform “intuitionistic fuzzy numbers” (IFNs) when dealing with unclear data. T
Externí odkaz:
https://doaj.org/article/3b1394d3c0474663a91c23a42b5d3e25
Publikováno v:
Complexity, Vol 2022 (2022)
This research article offers a study on a new relation of rough sets and soft sets with an algebraic structure quantale module by using soft reflexive and soft compatible relations. The lower approximation and upper approximation of subsets of quanta
Externí odkaz:
https://doaj.org/article/48de39f5d1214ffeaf4021f5850a8ed0
Autor:
Saqib Mazher Qurashi, Muhammad Shabir
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2018 (2018)
The paper examines the generalized rough fuzzy ideals of quantales. There are some intrinsic relations between fuzzy prime (primary) ideals of quantales and generalized rough fuzzy prime (primary) ideals of quantales. Homomorphic images of “general
Externí odkaz:
https://doaj.org/article/9befb7c3f68b4d1b91ea2c981ab259ca
Autor:
Saqib Mazher Qurashi, Muhammad Shabir
Publikováno v:
Punjab University Journal of Mathematics. :253-273
The present paper represents the behaviour of fuzzy filters and (α, β)-fuzzy filters in Quantale. The detailed study of relationship among crisp filter, fuzzy filters and (α, β)-fuzzy filters in quantale are discussed. An important part is played
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:10435-10452
In this work, we have proposed a new relationship among rough set, soft set and quantales with the help of soft compatible relation. This typical relationship is used to approximate the fuzzy substructures in quantales in association with soft compat
Autor:
Huan Zhou, Saqib Mazher Qurashi, Muti Ur Rehman, Muhammad Shabir, Rani Sumaira Kanwal, Ahmed Mostafa Khalil
Publikováno v:
Computational Intelligence and Neuroscience.
The aim of this research article is to derive a new relation between rough sets and soft sets with an algebraic structure quantale by using soft binary relations. The aftersets and foresets are utilized to define lower approximation and upper approxi