Solving neutrosophic linear equations systems using symbolic computation (Resolucion de sistemas de ecuaciones lineales neutrosóficas mediante computación simbólica)

Authors

Maykel Leyva-Vazquez
Florentin Smarandache, University of New MexicoFollow

Document Type

Article

Publication Date

2021

Abstract

In this paper, we apply the concept of neutrosophic numbers to solve a systems of neutrophic linear equations using symbolic computation. Also, we utilize Jupyter, which is supported in Google Colaboratory for performing symbolic computation. The sympy library of Python is used to perform the process of neutrosophic computation. Systems of neutrosophic linear equations are solved through symbolic computation in Python. A case study was developed for the determination of vehicular traffic with indeterminacy. This king of computation opens new ways to deal with indeterminacy in real-world problems.

Publisher

University of New Mexico

Publication Title

Neutrosophic Computing and Machine Learning

Volume

15

First Page

41

Last Page

46

DOI

https://zenodo.org/record/4455648

Language (ISO)

Spanish

Keywords

neutrosophic computing, sympy, google colaboratory, neutrosophic number, neutrosophic linear equations

Recommended Citation

Leyva-Vazquez, Maykel and Florentin Smarandache. "Solving neutrosophic linear equations systems using symbolic computation (Resolucion de sistemas de ecuaciones lineales neutrosóficas mediante computación simbólica)." Neutrosophic Computing and Machine Learning , (2021): 41-46. doi:https://zenodo.org/record/4455648.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.