Noor Rehman
Orcid: 0000-0003-3094-4865
According to our database1,
Noor Rehman
authored at least 32 papers
between 2014 and 2024.
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Bibliography
2024
Correction: Local soft rough approximations and their applications to conflict analysis problems.
Knowl. Inf. Syst., December, 2024
Local soft rough approximations and their applications to conflict analysis problems.
Knowl. Inf. Syst., July, 2024
A novel approach to three-way decision model under fuzzy soft dominance degree relations and emergency situation.
Expert Syst. Appl., 2024
2023
A new class of fuzzy implications derived from non associative structures and its characterizations.
J. Intell. Fuzzy Syst., 2023
Another view on tolerance based multigranulation <i>q</i>-rung orthopair fuzzy rough sets with applications.
J. Intell. Fuzzy Syst., 2023
Generalized fuzzy rough sets based on (β, δ)-fuzzy similarity relation and their application to emergency management.
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
Decision-Making Techniques Based on q-Rung Orthopair Probabilistic Hesitant Fuzzy Information: Application in Supply Chain Financing.
Complex., 2023
2022
A Decision-Making Framework Using q-Rung Orthopair Probabilistic Hesitant Fuzzy Rough Aggregation Information for the Drug Selection to Treat COVID-19.
Complex., 2022
2021
Soft Comput., 2021
Evaluation of the product quality of the online shopping platform using <i>t</i>-spherical fuzzy preference relations.
J. Intell. Fuzzy Syst., 2021
A comprehensive study of upward fuzzy preference relation based fuzzy rough set models: Properties and applications in treatment of coronavirus disease.
Int. J. Intell. Syst., 2021
Note on "Tolerance-based intuitionistic fuzzy-rough set approach for attribute reduction".
Expert Syst. Appl., 2021
q-Rung Orthopair Fuzzy Rough Einstein Aggregation Information-Based EDAS Method: Applications in Robotic Agrifarming.
Comput. Intell. Neurosci., 2021
2020
Note on "Fuzzy multi-granulation decision-theoretic rough sets based on fuzzy preference relation".
Soft Comput., 2020
Uncertainty measure of <i>Z</i>-soft covering rough models based on a knowledge granulation.
J. Intell. Fuzzy Syst., 2020
J. Intell. Fuzzy Syst., 2020
J. Intell. Fuzzy Syst., 2020
Another View on Intuitionistic Fuzzy Preference Relation-Based Aggregation Operators and Their Applications.
Int. J. Fuzzy Syst., 2020
Soft dominance based multigranulation decision theoretic rough sets and their applications in conflict problems.
Artif. Intell. Rev., 2020
2019
Variable precision multi decision λ-soft dominance based rough sets and their applications in conflict problems.
J. Intell. Fuzzy Syst., 2019
J. Intell. Fuzzy Syst., 2019
J. Intell. Fuzzy Syst., 2019
Int. J. Approx. Reason., 2019
Multi-Granulation Fuzzy Rough Sets Based on Fuzzy Preference Relations and Their Applications.
IEEE Access, 2019
2018
Symmetry, 2018
J. Intell. Fuzzy Syst., 2018
New types of dominance based multi-granulation rough sets and their applications in Conflict analysis problems.
J. Intell. Fuzzy Syst., 2018
J. Intell. Fuzzy Syst., 2018
Pathogens constancy, harbinger of nosocomial infection cum identification of resistant genes and drug designing.
Comput. Biol. Chem., 2018
SDMGRS: Soft Dominance Based Multi Granulation Rough Sets and Their Applications in Conflict Analysis Problems.
IEEE Access, 2018
2014
Some characterizations of ternary semigroups by the properties of their (∈<sub>γ</sub>, ∈<sub>>γ</sub>⋁q<sub>>δ</sub>)-fuzzy ideals.
J. Intell. Fuzzy Syst., 2014