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dFCExpert: Learning Dynamic Functional Connectivity Patterns With Modularity and State Experts. [PDF]

IEEE Trans Med Imaging
Chen T, Li H, Zheng H, Fan Y.
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Pythagorean fuzzy N-bipolar soft sets-based multi-criteria decision-making framework for sustainability evaluation and risk assessment in manufacturing industries. [PDF]

Sci Rep
Saeed MM, Musa SY, Asaad BA, Ameen ZA.
europepmc   +1 more source

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Bipolar fuzzy soft expert set and its application in decision making

International Journal of Applied Decision Sciences, 2017
In this paper, we extend the two concepts of bipolar fuzzy sets and soft expert sets to bipolar fuzzy soft expert sets. We will define its basic theoretic operation, namely complement, union, intersection, AND and OR on bipolar fuzzy soft expert sets along with illustrative examples, and study some related properties with supporting proofs.
Nasruddin Hassan, Yousef Al-Qudah
exaly   +2 more sources

Soft Expert Symmetric Group and Its Application in MCDM Problem

Symmetry, 2022
Researchers are always inspired to broaden their explorations towards uncertainty theories, owing to their great interest and importance. Soft set theory plays a primary role among all recent uncertainty tools.
Shanmugam Kalaiselvan, Srinivasan Vijayabalaji   +1 more
exaly   +2 more sources

Fuzzy Parameterized Complex Neutrosophic Soft Expert Set for Decision under Uncertainty

Symmetry, 2019
In the definition of the complex neutrosophic soft expert set (CNSES), parameters set is a classical set, and the parameters have the same degree of importance, which is considered as 1. This poses a limitation in modeling of some problems.
Ashraf Al-Quran, Nasruddin Hassan, Shawkat Alkhazaleh   +2 more
exaly   +2 more sources

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, Abd Ghafur .., Shawkat Alkhazaleh   +2 more
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On spherical fuzzy soft expert sets

AIP Conference Proceedings, 2020
As a generalization of Zadeh's fuzzy set theory, soft set theory was introduced by Molodtsov in 1999. It is a new mathematical tool to deal with uncertainty in a parametric manner. Also, it has a rich potential for applications in several directions. In 2011, Alkhazaleh and Salleh introduced the concept of soft expert sets where the user can know the ...
Fathima Perveen P. A., Sunil Jacob John, Ratheesh K. P.   +2 more
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Vague soft expert set theory

AIP Conference Proceedings, 2013
The concept of fuzzy soft expert set theory and its operations were reviewed. The concept of vague soft expert set theory is introduced. Its operations such as equal, subset, complement, union and intersection are defined. Illustrative examples of vague soft expert set are then given.
Nasruddin Hassan, Khaleed Alhazaymeh
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