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Time Q-Neutrosophic Soft Expert Set
International Journal of Neutrosophic Science, 2022This 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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Review of Generalized Neutrosophic Soft Set in Solving Multiple Expert Decision Making Problems
International Journal of Neutrosophic Science, 2022To manage issues with incompleteness, indeterminacy, and awareness of inconsistent information, Maji presented the idea of a neutrosophic soft set by merging the ideas of a neutrosophic set and a soft set. The generalized neutrosophic soft set (GNSS) is an extension of this idea, which has now been developed further.
Sonali .., Ajay V. Singh, Said Broumi
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Q-Neutrosophic Soft Expert Set and its Application in Decision Making
International Journal of Fuzzy System Applications, 2018This 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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Effective Neutrosophic Soft Expert Set and Its Application
International Journal of Neutrosophic ScienceThe neutrosophic soft set emerges as a highly valuable and efficient adaptation of soft sets, specifically addressing parameterized values of alternatives. However, numerous decision-making algorithms rooted in neutrosophic soft sets often neglect the external factors impacting their effectiveness.
Sumyyah Al Al-Hijjawi +2 more
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International Journal of Applied Decision Sciences, 2016
In this paper, we propose the theory of fuzzy parameterised single valued neutrosophic soft expert set by giving an importance degree for each element in the set of parameters and define some related concepts pertaining to this notion as well as the basic operations of complement, subset, union, intersection, AND and OR along with illustrative examples.
Ashraf Al Quran, Nasruddin Hassan
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In this paper, we propose the theory of fuzzy parameterised single valued neutrosophic soft expert set by giving an importance degree for each element in the set of parameters and define some related concepts pertaining to this notion as well as the basic operations of complement, subset, union, intersection, AND and OR along with illustrative examples.
Ashraf Al Quran, Nasruddin Hassan
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International Journal of Neutrosophic Science
Applied statistics has been instrumental in predicting behaviours and future market trends. In the field of financial time series analysis, the incorporation of deep learning (DL) methods and applied statistics has made a significant contribution to the prediction model.
Abdelgalal Abdelgalal +5 more
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Applied statistics has been instrumental in predicting behaviours and future market trends. In the field of financial time series analysis, the incorporation of deep learning (DL) methods and applied statistics has made a significant contribution to the prediction model.
Abdelgalal Abdelgalal +5 more
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International Journal of Neutrosophic Science
The incorporation of expert opinions and handling of data uncertainty are addressed by Al-Alkhazaleh through the introduction of a soft expert set. This extension of the soft set framework aims to enhance the analysis and decision-making processes by incorporating expert knowledge.
Faisal Al Al-Sharqi +6 more
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The incorporation of expert opinions and handling of data uncertainty are addressed by Al-Alkhazaleh through the introduction of a soft expert set. This extension of the soft set framework aims to enhance the analysis and decision-making processes by incorporating expert knowledge.
Faisal Al Al-Sharqi +6 more
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International Journal of Neutrosophic Science
A soft expert set is a concept that combines elements of soft sets and expert systems. It aims to incorporate expert knowledge and uncertainty-handling capabilities into the analysis and decision-making processes. On the other hand, the idea of single neutrosophic sets (SVNSs) and fuzzy sets (FSs) are imported models for handling the uncertainty data ...
Faisal Faisal +6 more
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A soft expert set is a concept that combines elements of soft sets and expert systems. It aims to incorporate expert knowledge and uncertainty-handling capabilities into the analysis and decision-making processes. On the other hand, the idea of single neutrosophic sets (SVNSs) and fuzzy sets (FSs) are imported models for handling the uncertainty data ...
Faisal Faisal +6 more
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Enhancing Cybersecurity in Financial Services using Single Value Neutrosophic Fuzzy Soft Expert Set
International Journal of Neutrosophic ScienceCybersecurity has become a primary concern as the financial sectors generally handle increasing cyber-attacks and an increasing danger of financial crime. Recently, ransomware attacks have intensified, affecting enterprises, and crucial infrastructure worldwide.
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International Journal of Neutrosophic Science
A soft expert set is widely used as a tool to solve and model the problems appearing in computer science and operations research. It aims to incorporate expert knowledge and uncertainty-handling capabilities into the analysis and decision-making processes. On the other hand, the idea of single neutrosophic sets (SVNSs) and fuzzy sets (FSs) are imported
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A soft expert set is widely used as a tool to solve and model the problems appearing in computer science and operations research. It aims to incorporate expert knowledge and uncertainty-handling capabilities into the analysis and decision-making processes. On the other hand, the idea of single neutrosophic sets (SVNSs) and fuzzy sets (FSs) are imported
openaire +1 more source