Modify Symmetric Fuzzy Approach to Solve the Multi-Objective Linear Fractional Programming Problem
| Autor: | Maher Ali Nawkhass, Nejmaddin Ali Sulaiman |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | International Journal of Fuzzy System Applications. 11:1-17 |
| ISSN: | 2156-1761 2156-177X |
| DOI: | 10.4018/ijfsa.312243 |
| Popis: | The property of fuzzy sets is approached as an instrument for the construction and finding of the value of the multi-objective linear fractional programming problem (MOLFPP), which is one of the systems of decision problems that are covered by fuzzy dealings. The paper introduces an approach to convert and solve such a problem by modifying the symmetric fuzzy approach, suggesting an algorithm, and demonstrating how the fuzzy linear fractional programming problem (FLFPP) can be answered without raising the arithmetic potency. Also, it introduces a technique that uses an optimal mean to convert MOLFPP to a single LFPP by modifying the symmetric fuzzy approach. A numeric sample is provided to clarify the qualification of the suggested approach and compare the results with other techniques, which are solved by using a computer application to test the algorithm of the above method, indicating that the results obtained by the fuzzy environment are promising. |
| Databáze: | OpenAIRE |
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