دورية أكاديمية
Application of neutrosophic minimum spanning tree in electrical power distribution network
| العنوان: | Application of neutrosophic minimum spanning tree in electrical power distribution network |
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| المؤلفون: | Xiao Qun Liao, Tong Su, Li Ma |
| المصدر: | CAAI Transactions on Intelligence Technology (2020) |
| بيانات النشر: | Wiley, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Computational linguistics. Natural language processing LCC:Computer software |
| مصطلحات موضوعية: | distribution networks, linear programming, trees (mathematics), genetic algorithms, set theory, real-life problems, neutrosophic mst problem, linear programming model, neutrosophic minimum spanning tree, electrical power distribution network, combinatorial optimisation problems, graph theory, triangular neutrosophic, Computational linguistics. Natural language processing, P98-98.5, Computer software, QA76.75-76.765 |
| الوصف: | The problem of finding the minimum spanning tree (MST) is one of the most studied and important combinatorial optimisation problems in graph theory. Several types of uncertainties exist in real-life problems, which make it very hard to find the exact length of the arc. The neutrosophic set is an efficient tool to model and deal with the uncertainties in information due to inconsistent and indeterminate. In this study, the authors use triangular neutrosophic numbers to represent the edge weights of a neutrosophic graph for the MST problem in the neutrosophic environment. They call this problem a neutrosophic MST (NMST) problem. They formulate the NMST problem in terms of the linear programming model. Here, they introduce an algorithmic method based on a genetic algorithm for solving the NMST problem. They present the utility of triangular neutrosophic numbers as edge weights and their application in the electrical distribution network. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2468-2322 |
| Relation: | https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0100; https://doaj.org/toc/2468-2322 |
| DOI: | 10.1049/trit.2019.0100 |
| URL الوصول: | https://doaj.org/article/3347331a42c84f4987100e6801a94be5 |
| رقم الأكسشن: | edsdoj.3347331a42c84f4987100e6801a94be5 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 24682322 |
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| DOI: | 10.1049/trit.2019.0100 |