A Neutrosophic Compromise Programming Technique to Solve Multi-Objective Assignment Problem with T2TpFNs
| Autor: | Murshid Kamal, Prabhjot Kaur, Irfan Ali, Aquil Ahmed |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Neutrosophic Sets and Systems, Vol 51, Pp 172-204 (2022) |
| Druh dokumentu: | article |
| ISSN: | 2331-6055 2331-608X |
| DOI: | 10.5281/zenodo.7135275 |
| Popis: | Multi-objective assignment problems (MOAPs) emerge in a wide range of real-world scenarios, from everyday activities to large-scale industrial operations. In this study, a MOAP with fuzzy parameters is investigated, and the fuzziness is represented by a Type-2 fuzzy logic system. Because the T2FLS is more efficient in dealing with the uncertainty of a decision-making process, the current problem's many parameters are represented by Type-2 trapezoidal fuzzy numbers (T2TpFNs). T2TpFNs are first reduced to Type-1 fuzzy numbers, then to crisp numbers. Finally, the neutrosophic compromise programming technique (NCPT) is applied to produce a problem compromise solution. A numerical problem is used to demonstrate the validity and applicability of the NCPT for the current MOAP. Furthermore, a comparison of NCPT to other techniques such as FPT and IFPT shows its superiority. |
| Databáze: | Directory of Open Access Journals |
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