Muhammad Irfan Ali
Orcid: 0000-0002-9454-6324Affiliations:
- Islamabad Model College for Boys G-11/1, Pakistan
According to our database1,
Muhammad Irfan Ali
authored at least 55 papers
between 2009 and 2024.
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Bibliography
2024
q-Rung orthopair fuzzy soft Hamacher aggregation operators and their applications in multi-criteria decision making.
Comput. Appl. Math., February, 2024
2022
Soft Comput., 2022
Correction to: Topological approach to generalized soft rough sets via near concepts.
Soft Comput., 2022
Soft Comput., 2022
q-Rung orthopair fuzzy soft aggregation operators based on Dombi t-norm and t-conorm with their applications in decision making.
J. Intell. Fuzzy Syst., 2022
Improved generalized dissimilarity measure-based VIKOR method for Pythagorean fuzzy sets.
Int. J. Intell. Syst., 2022
2021
A chance-constraint programming model with interval-valued pythagorean fuzzy constraints.
J. Intell. Fuzzy Syst., 2021
Why do we need q-rung orthopair fuzzy sets? Some evidence established via mass assignment.
Int. J. Intell. Syst., 2021
Int. J. Intell. Syst., 2021
Comput. Appl. Math., 2021
q-Rung Orthopair Fuzzy Modified Dissimilarity Measure Based Robust VIKOR Method and its Applications in Mass Vaccination Campaigns in the Context of COVID-19.
IEEE Access, 2021
EDAS Method for Multi-Criteria Group Decision Making Based on Intuitionistic Fuzzy Rough Aggregation Operators.
IEEE Access, 2021
Some Geometric Aggregation Operators Under q-Rung Orthopair Fuzzy Soft Information With Their Applications in Multi-Criteria Decision Making.
IEEE Access, 2021
2020
Generalized hesitant fuzzy rough sets (GHFRS) and their application in risk analysis.
Soft Comput., 2020
Design concept evaluation using soft sets based on acceptable and satisfactory levels: an integrated TOPSIS and Shannon entropy.
Soft Comput., 2020
Uncertainty measure of <i>Z</i>-soft covering rough models based on a knowledge granulation.
J. Intell. Fuzzy Syst., 2020
q-Rung orthopair fuzzy soft average aggregation operators and their application in multicriteria decision-making.
Int. J. Intell. Syst., 2020
2019
Another View on Generalized Intuitionistic Fuzzy Soft Sets and Related Multiattribute Decision Making Methods.
IEEE Trans. Fuzzy Syst., 2019
Covering-Based Spherical Fuzzy Rough Set Model Hybrid with TOPSIS for Multi-Attribute Decision-Making.
Symmetry, 2019
Variable precision multi decision λ-soft dominance based rough sets and their applications in conflict problems.
J. Intell. Fuzzy Syst., 2019
Covering based q-rung orthopair fuzzy rough set model hybrid with TOPSIS for multi-attribute decision making.
J. Intell. Fuzzy Syst., 2019
J. Intell. Fuzzy Syst., 2019
A graphical method for ranking Atanassov's intuitionistic fuzzy values using the uncertainty index and entropy.
Int. J. Intell. Syst., 2019
Int. J. Approx. Reason., 2019
Utilizing Software Design Patterns in Product-Driven Manufacturing System: A Case Study.
Proceedings of the 9th Workshop on Service Oriented, 2019
2018
Symmetry, 2018
Another View of Aggregation Operators on Group-Based Generalized Intuitionistic Fuzzy Soft Sets: Multi-Attribute Decision Making Methods.
Symmetry, 2018
J. Multiple Valued Log. Soft Comput., 2018
J. Intell. Fuzzy Syst., 2018
Best concept selection in design process: An application of generalized intuitionistic fuzzy soft sets.
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
Artif. Intell. Rev., 2018
SDMGRS: Soft Dominance Based Multi Granulation Rough Sets and Their Applications in Conflict Analysis Problems.
IEEE Access, 2018
2017
Int. J. Mach. Learn. Cybern., 2017
J. Intell. Fuzzy Syst., 2017
On a novel uncertain soft set model: Z-soft fuzzy rough set model and corresponding decision making methods.
Appl. Soft Comput., 2017
Adv. Fuzzy Syst., 2017
2015
2014
2013
2012
Neural Comput. Appl., 2012
2011
Comput. Math. Appl., 2011
2010
Soft Comput., 2010
2009