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Time Q-Neutrosophic Soft Expert Set

International Journal of Neutrosophic Science, 2022
This paper is a combination of time neutrosophic soft sets and Q- neutrosophic soft expert sets. We define the general concept of time Q-neutrosophic soft expert sets and study its properties. Some operations such as complement, union, and intersection are explored. Then a hypothetical application of this concept in the decision-making problem is given.
Sumyyah Al Al-Hijjawi   +2 more
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Q-Neutrosophic Soft Expert Set and its Application in Decision Making

International Journal of Fuzzy System Applications, 2018
This article describes how Smarandache defined neutrosophic sets to handle problems involving incomplete, indeterminacy and awareness of inconsistency knowledge, and is further developed to neutrosophic soft expert sets by Sahin et al. Adam and Hassan defined multi Q-fuzzy soft sets as an extension to fuzzy soft sets and gave its applications.
Nasruddin Hassan   +2 more
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A novel Q-neutrosophic soft under interval matrix setting and its applications

International Journal of Neutrosophic Science
Decision-making theory serves as an effective framework to guide decision-makers in solving problems. One notable application of this theory is in the medical field, where it aids doctors in analyzing patient data to determine whether a patient is infected. To enhance this theory with more adaptable mathematical methods, we propose an expanded approach
admin admin   +3 more
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Comprehensive Survey of Recent Applications of Q-Neutrosophic Soft Set in Medical Diagnosis System

Neutrosophic Soft Set (NSS) is one of the potential mathematical model for handling parametric uncertainties in dynamic environment. Q-NSS is extended version of NSS which incorporates the features of both NSS and Q-fuzzy set in handling uncertainty. Nowadays medical diagnosis system is prone to varieties of uncertainty in terms of uncertain disease ...
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Soft actuators for real-world applications

Nature Reviews Materials, 2021
Meng Li, Aniket Pal, Amirreza Aghakhani
exaly  

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