改进对称模糊方法求解多目标线性分式规划问题

Maher A. Nawkhass, N. A. Sulaiman
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引用次数: 0

摘要

多目标线性分式规划问题(MOLFPP)是一类被模糊处理覆盖的决策问题,本文研究了模糊集的性质,作为构造和求值的工具。本文通过对对称模糊方法的改进,提出了一种转换和求解模糊线性分式规划问题的方法,并给出了一种算法,证明了如何在不提高算法效能的情况下求解模糊线性分式规划问题。此外,它还介绍了一种通过修改对称模糊方法,使用最优均值将MOLFPP转换为单个LFPP的技术。通过数值算例验证了所提方法的正确性,并与其他方法的结果进行了比较,并通过计算机应用程序对所提方法的算法进行了验证,表明模糊环境下得到的结果是有希望的。
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Modify Symmetric Fuzzy Approach to Solve the Multi-Objective Linear Fractional Programming Problem
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.
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来源期刊
International Journal of Fuzzy System Applications
International Journal of Fuzzy System Applications Computer Science-Computer Science (all)
CiteScore
2.40
自引率
0.00%
发文量
65
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