Neutrosophic Software and Computational Tools
To support the advancement of neutrosophic research and its real-world applications, several open-source computational tools and packages have been developed by contributors from the global scientific community. These tools assist researchers and practitioners in implementing neutrosophic logic, statistics, image processing, and algebraic computations.
Available Tools and Packages-
R Package:
neutrostat
Developed by Dr. Zahid Khan-
Platform: R (CRAN)
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Description: A statistical package designed for computations involving neutrosophic statistics.
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MATLAB Toolbox: Neutrosophic Matrices
Developed by Said Broumi (2019)-
Platform: MATLAB
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Description: Provides tools for working with neutrosophic matrices and logic-based operations.
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Python Package: Neutrosophic Library
Developed by Dr. Haitham A. El-Ghareeb (2019)-
Platform: Python
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Description: An open-source Python library for neutrosophic logic and set operations.
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Jupyter-Based Tools: Neutrosophic Computation & Linear Equations
Developed by Maikel Leyva Vazquez (2018)-
Platform: Jupyter Notebooks
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Description: Interactive notebooks focusing on neutrosophic computations, uncertainty, and solving linear systems.
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Python Framework for Neutrosophic Image Processing
Developed by Vinoth D., Vellore Institute of Technology-
Platform: Python (GitHub Repository)
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Description: A modular framework for implementing neutrosophic image segmentation and processing techniques.
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These tools significantly enhance research productivity, reproducibility, and innovation within the field of neutrosophic theory. Researchers are encouraged to use, extend, and cite these resources in their studies, as they form a critical infrastructure for computational neutrosophy and plithogenic modeling.
