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A Python Toolbox for Single-Valued and Interval-Valued Fermatean Neutrosophic Matrices

A Python Toolbox for Single-Valued and Interval-Valued Fermatean Neutrosophic Matrices
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Author(s): Said Broumi (University Hassan II, Morocco)and González-Caballero Erick (Technological University of Havana, Cuba)
Copyright: 2025
Pages: 42
Source title: Multi-Criteria Decision Making Models and Techniques: Neutrosophic Approaches
Source Author(s)/Editor(s): Mohamed Abdel-Basset (Zagazig University, Egypt), Abduallah Gamal (Zagazig University, Egypt)and Florentin Smarandache (University of New Mexico, USA)
DOI: 10.4018/979-8-3693-2085-3.ch007

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Abstract

Neutrosophic sets are a type of mathematical object that can be used to model indeterminacy and inconsistent information. They are defined using three degrees of membership: truthfulness, indeterminacy, and falsity. Single-valued Fermatean neutrosophic sets (SVFNSs) and interval-valued Fermatean neutrosophic sets (IVFNSs) are two specific cases of neutrosophic sets that have been shown to be useful in a variety of applications. In this chapter, a new Python toolbox is proposed under the neutrosophic environment, which consists in some Python code for single-valued Fermatean neutrosophic matrices and interval-valued Fermatean neutrosophic matrices. Some definitions of interval-valued Fermatean neutrosophy are vague sets such as union, complement, and intersection, which are presented. Furthermore, the related examples are included.

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