Asghar Khan
Orcid: 0000-0002-6846-662X
According to our database1,
Asghar Khan
authored at least 50 papers
between 2009 and 2024.
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Bibliography
2024
TOPSIS method based on connection number of set pair analysis subject to bipolar fuzzy environment with application in decision making.
J. Intell. Fuzzy Syst., January, 2024
Multi-Criteria Decision-Making Using Connection Number Based TOPSIS Method Under Tripolar Fuzzy Environment.
IEEE Access, 2024
2023
Comput. Appl. Math., September, 2023
J. Appl. Math. Comput., June, 2023
Cubical fuzzy Hamacher aggregation operators in multi-attribute decision-making problems.
Comput. Appl. Math., April, 2023
Cyclone disaster assessment based on Fermatean hesitant fuzzy information and extended TOPSIS method.
J. Intell. Fuzzy Syst., 2023
University's recruitment process using Fermatean fuzzy Einstein prioritized aggregation operators.
J. Intell. Fuzzy Syst., 2023
Fermatean fuzzy soft aggregation operators and their application in symptomatic treatment of COVID-19 (case study of patients identification).
J. Ambient Intell. Humaniz. Comput., 2023
q-Rung Orthopair Probabilistic Hesitant Fuzzy Rough Aggregation Information and Their Application in Decision Making.
Int. J. Fuzzy Syst., 2023
2022
New Math. Nat. Comput., 2022
J. Multiple Valued Log. Soft Comput., 2022
Computational modelling of potentially emerging SARS-CoV-2 spike protein RBDs mutations with higher binding affinity towards ACE2: A structural modelling study.
Comput. Biol. Medicine, 2022
2021
A novel approach to MADM problems using Fermatean fuzzy Hamacher prioritized aggregation operators.
Soft Comput., 2021
Aggregation Operators of Fuzzy Bi-Polar Soft Sets and its Application in Decision Making.
J. Multiple Valued Log. Soft Comput., 2021
Multiple attribute decision making problem using GRA method with incomplete weight information based on picture hesitant fuzzy setting.
Int. J. Intell. Syst., 2021
A novel approach to MADM problems using Fermatean fuzzy Hamacher aggregation operators.
Int. J. Intell. Syst., 2021
2019
J. Multiple Valued Log. Soft Comput., 2019
J. Intell. Fuzzy Syst., 2019
J. Intell. Fuzzy Syst., 2019
J. Intell. Fuzzy Syst., 2019
Fuzzy Parameterized Bipolar Fuzzy Soft Expert Set and Its Application in Decision Making.
Int. J. Fuzzy Log. Intell. Syst., 2019
2018
Characterizations of ordered semihypergroups by the properties of their intersectional-soft generalized bi-hyperideals.
Soft Comput., 2018
J. Intell. Fuzzy Syst., 2018
J. Intell. Fuzzy Syst., 2018
2017
J. Intell. Fuzzy Syst., 2017
Characterizations of regular ordered semigroups in terms of (α, β)-bipolar fuzzy generalized bi-ideals.
J. Intell. Fuzzy Syst., 2017
2016
Int. J. Mach. Learn. Cybern., 2016
Classification of Ordered Semigroups in Terms of Generalized Interval-Valued Fuzzy Interior Ideals.
J. Intell. Syst., 2016
Characterizations of semisimple ordered semihypergroups in terms of fuzzy hyperideals.
J. Intell. Fuzzy Syst., 2016
J. Intell. Fuzzy Syst., 2016
2015
2014
J. Intell. Fuzzy Syst., 2014
2013
J. Intell. Fuzzy Syst., 2013
J. Intell. Fuzzy Syst., 2013
2012
Ordered semigroups characterized by (∈, ∈ ∨ q<sub>k</sub>)-fuzzy generalized bi-ideals.
Neural Comput. Appl., 2012
Neural Comput. Appl., 2012
Characterizations of ordered semigroups in terms of (∈, ∈ ∨ q)-fuzzy interior ideals.
Neural Comput. Appl., 2012
2011
Characterizations of regular ordered semigroups in terms of (α, β)-fuzzy generalized bi-ideals.
Inf. Sci., 2011
2010
Int. J. Math. Math. Sci., 2010
Comput. Math. Appl., 2010
2009