Special Issue "New Challenges in Neutrosophic Theory and Applications"
Deadline for manuscript submissions: closed (31 May 2020).
A printed edition of this Special Issue is available here.
Interests: qualitative social research, communication and media and metaphysics
Since its first development in 1995, Neutrosophy has been the basis of neutrosophic logic and neutrosophic sets. Neutrosophic sets and logic are generalizations of fuzzy and intuitionistic fuzzy sets and logic. Since then, studies about “neutrosophy” and its derivatives, such as “neutrosophic logic”, “neutrosophic set”, “neutrosophic probability”, and “neutrosophic statistics”, have been applied in various domains, starting from computational intelligence, clustering, control, data analysis and data mining, decision making and support, design, human factors engineering and ergonomics, information processing and retrieval, knowledge representation and reasoning, all the way to image processing, medical diagnosis, optimization, pattern classification, production planning and scheduling, quality control, natural language processing, etc.
We welcome authors to present new neutrosophic techniques, methodologies, mixed approaches, and research directions pointing to unsolved issues. Topics of interest include, but are not limited to:
- Neutrosophic sets
- Neutrosophic algebra
- Neutrosophic topology
- Neutrosophic graphs
- Neutrosophic probabilities
- Neutrosophic tools for decision making
- Neutrosophic theory for machine learning
- Neutrosophic statistics
- Neutrosophic numerical measures
- Classical neutrosophic numbers
- A neutrosophic hypothesis
- The neutrosophic level of significance
- The neutrosophic confidence interval
- The neutrosophic central limit theorem
- Neutrosophic theory in bioinformatics and medical analytics
- Neutrosophic tools for big data analytics
- Neutrosophic tools for deep learning
- Neutrosophic tools for data visualization
- Quadripartitioned single valued neutrosophic sets
- Refined single valued neutrosophic sets
Prof. Dr. Stefan Vladutescu
Prof. Dr. Mihaela Colhon
Manuscript Submission Information
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