Solving neutrosophic minimal cost flow problem using multi-objective linear programming problem
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| Název: | Solving neutrosophic minimal cost flow problem using multi-objective linear programming problem |
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| Autoři: | Shubham Kumar Tripathi, Ranjan Kumar |
| Zdroj: | Journal of Information and Optimization Sciences. 45:1093-1104 |
| Informace o vydavateli: | Taru Publications, 2024. |
| Rok vydání: | 2024 |
| Témata: | 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology |
| Popis: | The Linear Programming (LP) model, renowned for its robust modeling capabilities, is a highly effective tool for solving real-world problems and optimizing tasks with specific objective. A key component of the LP model is the Minimum Cost Flow (MCF), which aims to minimize the transportation cost of a single product through a capacitated network. This article focuses on the MCF problem with neutrosophic arc cost, a scenario that often arises in real-world situations due to the complexity and uncertainty of data. The neutrosophic theory plays a crucial role in handling this vagueness. The primary objective of this paper is to find the optimal solution to the neutrosophic MCF problem using SVTN numbers. |
| Druh dokumentu: | Article |
| ISSN: | 2169-0103 0252-2667 |
| DOI: | 10.47974/jios-1694 |
| Přístupové číslo: | edsair.doi...........3c151f7c36cee73b82bbc5294a8b105c |
| Databáze: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstrakt: | The Linear Programming (LP) model, renowned for its robust modeling capabilities, is a highly effective tool for solving real-world problems and optimizing tasks with specific objective. A key component of the LP model is the Minimum Cost Flow (MCF), which aims to minimize the transportation cost of a single product through a capacitated network. This article focuses on the MCF problem with neutrosophic arc cost, a scenario that often arises in real-world situations due to the complexity and uncertainty of data. The neutrosophic theory plays a crucial role in handling this vagueness. The primary objective of this paper is to find the optimal solution to the neutrosophic MCF problem using SVTN numbers. |
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| ISSN: | 21690103 02522667 |
| DOI: | 10.47974/jios-1694 |