Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Murugan Palanikumar"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract This paper describes a generalized Diophantine fuzzy sets, which can be seen as a generalization of both Diophantine fuzzy sets and Pythagorean fuzzy sets. We define the basic properties of generalized Diophantine fuzzy set, as well as their
Externí odkaz:
https://doaj.org/article/524ed4ef6b4544e5841e0929d1e51388
Treatment of cancer patients by generalizing a Fermatean normal vague set with aggregation operators
Publikováno v:
Heliyon, Vol 10, Iss 22, Pp e40252- (2024)
Multi-attribute decision-making problems can be solved using a Fermatean vague set. Fermatean vague sets are extension of vague sets. We initiated generalized Fermatean vague weighted averaging, generalized Fermatean vague weighted geometric, power g
Externí odkaz:
https://doaj.org/article/a1fe39d7bb9e4f99a11ba1c9ee0983b0
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-28 (2024)
Abstract This paper presents a new methodology for solving multiple-attribute decision-making problems (MADMs) using a complex Pythagorean normal interval-valued fuzzy set (CPNIVFS), which is an extended concept of a complex Pythagorean fuzzy set. Fo
Externí odkaz:
https://doaj.org/article/98c2a7a8935347638ce0dda46cad965f
Publikováno v:
AIMS Mathematics, Vol 8, Iss 12, Pp 30209-30243 (2023)
The article explores multiple attribute decision making problems through the use of the Pythagorean neutrosophic vague normal set (PyNVNS). The PyNVNS can be generalized to the Pythagorean neutrosophic interval valued normal set (PyNIVNS) and vague s
Externí odkaz:
https://doaj.org/article/5ae9592aa0004eb589b874f0622590d7
Publikováno v:
Alexandria Engineering Journal, Vol 77, Iss , Pp 149-164 (2023)
The multiple-attribute decision-making (MADM) problem is resolved through the q-rung complex diophantine neutrosophic normal set (q-rung CDNNS). An important way to express uncertain information is using q-rung orthopair fuzzy sets (q-ROFs). Yager in
Externí odkaz:
https://doaj.org/article/60ca58c053354e3bbe8945489acf8853
Autor:
Murugan Palanikumar, Nasreen Kausar, Harish Garg, Aiyared Iampan, Seifedine Kadry, Mohamed Sharaf
Publikováno v:
AIMS Mathematics, Vol 8, Iss 8, Pp 17402-17432 (2023)
We introduce the concepts of multiple attribute decision-making (MADM) using square root neutrosophic normal interval-valued sets (SRNSNIVS). The square root neutrosophic (SRNS), interval-valued NS, and neutrosophic normal interval-valued (NSNIV) set
Externí odkaz:
https://doaj.org/article/e251ae80f2b7448897f1db80aec89896
Publikováno v:
AIMS Mathematics, Vol 8, Iss 7, Pp 16252-16277 (2023)
Novel methods for multiple attribute decision-making problems are presented in this paper using Type-Ⅱ Fermatean normal numbers. Type-Ⅱ Fermatean fuzzy sets are developed by further generalizing Fermatean fuzzy sets and neutrosophic sets. The Typ
Externí odkaz:
https://doaj.org/article/b0018f2dad76412b9c8f1dbaaf4c7148
Autor:
Murugan Palanikumar, Nasreen Kausar, Shams Forruque Ahmed, Seyyed Ahmad Edalatpanah, Ebru Ozbilge, Alper Bulut
Publikováno v:
AIMS Mathematics, Vol 8, Iss 5, Pp 11397-11424 (2023)
Using the Fermatean vague normal set (FVNS), problems requiring multiple attribute decision making (MADM) have been resolved in this article. This article focuses on the log Fermatean vague normal weighted averaging (log FVNWA), logarithmic Fermatean
Externí odkaz:
https://doaj.org/article/6507dd620dad46c6aa202da2f922e0e8