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2025
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| Online Access: | https://doi.org/10.5281/zenodo.18067419 |
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| _version_ | 1866901825292075008 |
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| author | Ha Van Nghi |
| author_facet | Ha Van Nghi |
| contents | <p><strong><span lang="EN-US">Solving multi-objective optimization problems is a task that must frequently be performed across various fields, including economics, management, engineering, and other areas. Two important tasks in solving multi-objective optimization problems are calculating weights for the objectives and selecting a mathematical method to solve the optimization problem. The current research integrated three methods—Entropy, MEREC, and TOPSIS—to solve a multi-objective optimization problem in identifying the best type of copper-core electrical wire among 28 available types. Specifically, the Entropy and MEREC methods were used to calculate weights for the criteria, while the TOPSIS method was used to rank the types of copper-core electrical wires. The results showed that although the rankings of the copper-core electrical wires were inconsistent when the weights of the criteria were calculated using the two different methods (Entropy and MEREC), there were still several alternatives whose rankings remained consistent. The type of electrical wire corresponding to product code 20255114 was found to be the best among the 28 types considered in this study.</span></strong></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18067419 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Integrating Entropy, MEREC And TOPSIS Methods In Solving Multi-Objective Optimization Problems: A Case Study In Electrical Wire Selection Ha Van Nghi weight, optimization, Entropy method, MEREC method, TOPSIS method <p><strong><span lang="EN-US">Solving multi-objective optimization problems is a task that must frequently be performed across various fields, including economics, management, engineering, and other areas. Two important tasks in solving multi-objective optimization problems are calculating weights for the objectives and selecting a mathematical method to solve the optimization problem. The current research integrated three methods—Entropy, MEREC, and TOPSIS—to solve a multi-objective optimization problem in identifying the best type of copper-core electrical wire among 28 available types. Specifically, the Entropy and MEREC methods were used to calculate weights for the criteria, while the TOPSIS method was used to rank the types of copper-core electrical wires. The results showed that although the rankings of the copper-core electrical wires were inconsistent when the weights of the criteria were calculated using the two different methods (Entropy and MEREC), there were still several alternatives whose rankings remained consistent. The type of electrical wire corresponding to product code 20255114 was found to be the best among the 28 types considered in this study.</span></strong></p> |
| title | Integrating Entropy, MEREC And TOPSIS Methods In Solving Multi-Objective Optimization Problems: A Case Study In Electrical Wire Selection |
| topic | weight, optimization, Entropy method, MEREC method, TOPSIS method |
| url | https://doi.org/10.5281/zenodo.18067419 |