Journal article Open Access

A Python Tool for Implementations on Bipolar Neutrosophic Matrices

Selçuk Topal; Said Broumi; Assia Bakali; Mohamed Talea; Florentin Smarandache

Bipolar neutrosophic matrices (BNM) are obtained by bipolar neutrosophic sets. Each
bipolar neutrosophic number represents an element of the matrix. The matrices are representable
multi-dimensional arrays (3D arrays). The arrays have nested list data type. Some operations,
especially the composition is a challenging algorithm in terms of coding because there are so many
nested lists to manipulate. This paper presents a Python tool for bipolar neutrosophic matrices. The
advantage of this work, is that the proposed Python tool can be used also for fuzzy matrices, bipolar
fuzzy matrices, intuitionistic fuzzy matrices, bipolar intuitionistic fuzzy matrices and single valued
neutrosophic matrices.

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