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In this article the concept of neutrosophic number is presented. Jupyter through Google Colaboratory is introduced for calculations. The Sympy library is used to perform the process of neutrosophic computation. Systems of linear neutrosóficas equations are solved by means of the symbolic computation in python. A case study was developed for the determination of vehicular traffic with indeterminacy. As future works are the development of new applications in different areas of engineering and science.
", "languages": [ { "id": "spa", "title": { "en": "Spanish" } } ], "publication_date": "2018-12-10", "publisher": "Zenodo", "resource_type": { "id": "publication-article", "title": { "de": "Zeitschriftenartikel", "en": "Journal article" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "title": "Computaci\u00f3n neutros\u00f3fica mediante Sympy [Neutrosophic Computing with Sympy]" }, "parent": { "access": { "owned_by": { "user": 26226 } }, "communities": {}, "id": "2139583", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.2139583", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.2139584", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:2139584", "provider": "oai" } }, "revision_id": 4, "stats": { "all_versions": { "data_volume": 28608860.0, "downloads": 28, "unique_downloads": 27, "unique_views": 103, "views": 103 }, "this_version": { "data_volume": 28608860.0, "downloads": 28, "unique_downloads": 27, "unique_views": 103, "views": 103 } }, "status": "published", "updated": "2020-01-20T14:46:03.201823+00:00", "versions": { "index": 1, "is_latest": true } }