Solving neutrosophic linear equations systems using symbolic computation
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.
Año de publicación:
2021
Keywords:
Fuente:
googleTipo de documento:
Other
Estado:
Acceso abierto
Áreas de conocimiento:
- Ciencias de la computación
- Optimización matemática
- Optimización matemática
Áreas temáticas de Dewey:
- Ciencias de la computación
Objetivos de Desarrollo Sostenible:
- ODS 9: Industria, innovación e infraestructura
- ODS 11: Ciudades y comunidades sostenibles
- ODS 8: Trabajo decente y crecimiento económico