Zobrazeno 1 - 5
of 5
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