Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Shibaji Dutta"'
Autor:
Mijanur Rahaman Seikh, Shibaji Dutta
Publikováno v:
Neutrosophic Sets and Systems, Vol 47, Pp 366-383 (2022)
Single-valued neutrosophic number (SVNN) is an appropriate extension of the ordinary fuzzy number. The key feature of the SVNN is that it can capture indeterminacy in the imprecise information. In real-life problems, there are many situations where p
Externí odkaz:
https://doaj.org/article/23d412e9e6404422afdc2037cdc54ba9
Autor:
Mijanur Rahaman Seikh, Shibaji Dutta
Publikováno v:
Granular Computing. 8:271-292
Autor:
Mijanur Rahaman Seikh, Shibaji Dutta
Publikováno v:
Soft Computing. 26:921-936
Single-valued neutrosophic numbers (SVNNs) are very much useful to express uncertain environments. In real-life problems, there are many situations where players of a matrix game can not assess their payoffs by using ordinary fuzzy sets or intuitioni
Publikováno v:
International Journal of Intelligent Systems. 36:6066-6100
Autor:
Shibaji Dutta, Mijanur Rahaman Seikh
Publikováno v:
International Journal of Mathematics in Operational Research. 1:1
Autor:
Seikh, Mijanur Rahaman1 mrseikh@ymail.com, Dutta, Shibaji1 dutta.shibaji@gmail.com
Publikováno v:
Neutrosophic Sets & Systems. 2021, Vol. 47, p366-383. 18p.
Autor:
Seikh, Mijanur Rahaman, Dutta, Shibaji
Publikováno v:
Granular Computing; Mar2023, Vol. 8 Issue 2, p271-292, 22p
Autor:
Seikh, Mijanur Rahaman, Dutta, Shibaji
Publikováno v:
Soft Computing - A Fusion of Foundations, Methodologies & Applications; Feb2022, Vol. 26 Issue 3, p921-936, 16p
Publikováno v:
International Journal of Intelligent Systems; Oct2021, Vol. 36 Issue 10, p5385-5387, 3p
After developing fuzzy set theory, many contributors focused their research on the extension of fuzzy sets and their computational methodologies, strengthening modern science and technology. In some real-life phenomena, the conventional methods and t