Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Mijanur Rahaman Seikh"'
Autor:
Mijanur Rahaman Seikh, Arnab Mukherjee
Publikováno v:
Transactions on Fuzzy Sets and Systems, Vol 3, Iss 2, Pp 108-127 (2024)
As the digital landscape continues to evolve, the selection of an appropriate online shop-ping platform has become increasingly crucial for both consumers and businesses. This paper introduces a novel approach that combines the Fermatean fuzzy set th
Externí odkaz:
https://doaj.org/article/eddb81b0a5424e55aa31a350bd80fb9f
Publikováno v:
Symmetry, Vol 16, Iss 5, p 573 (2024)
Initially, fuzzy sets and intuitionistic fuzzy sets were used to address real-world problems with imprecise data. Eventually, the notion of the hesitant fuzzy set was formulated to handle decision makers’ reluctance to accept asymmetric information
Externí odkaz:
https://doaj.org/article/91bc9e41218e4f0f9b255a17f6163c3c
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, Utpal Mandal
Publikováno v:
Symmetry, Vol 15, Iss 9, p 1680 (2023)
The q-rung orthopair fuzzy (q-ROF) set is an efficient tool for dealing with uncertain and inaccurate data in real-world multi-attribute decision-making (MADM). In MADM, aggregation operators play a significant role. The majority of well-known aggreg
Externí odkaz:
https://doaj.org/article/1bd0af74e8aa46048d92b88626774a22
Autor:
Dr. Mijanur Rahaman Seikh
Publikováno v:
Journal of Industrial and Management Optimization. 19:2178-2205
Publikováno v:
Artificial Intelligence Review. 56:2241-2278
Publikováno v:
Process Integration and Optimization for Sustainability. 6:863-882
Autor:
Mijanur Rahaman Seikh, Shibaji Dutta
Publikováno v:
Granular Computing. 8:271-292
Publikováno v:
Granular Computing. 7:965-978
Publikováno v:
Soft Computing.