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arXiv 1802.09909math.GM
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Linear Order关系下非线性模糊最优化问题的最优解

Optimal Solution of Nonlinear Fuzzy Optimization Problem under Linear Order Relation

Umme Salma M. Pirzada

摘要:

考虑模糊数线性序关系下的多变量非线性模糊最优化问题。利用模糊值函数$\tilde{f}$的gH-可微性,给出了新的最优性最优性条件.在不对模糊值函数的凸性、拟凸性、伪凸性等附加条件的情况下,得到了该算法的最优性条件。基于最优性条件,得到了模糊最优化问题的最优解。最后给出了算例和算例,说明了所得结果的数值应用.比较了现有文献中的最优性条件。

英文摘要:

Multi-variable nonlinear fuzzy optimization problem is considered under linear order relation on fuzzy numbers. Using gH-differentiability of a fuzzy-valued function $\tilde{f}$, new necessary and sufficient optimality conditions are proposed. The optimality conditions are obtained without putting additional conditions on fuzzy-valued functions like, convexity, quasi-convexity, pseudo-convexity. Optimum solution of the fuzzy optimization problem is obtained based on the optimality conditions. Illustrations and a case study are given to explain the numerical applications of the proposed results. Comparison of optimality conditions from existing literature is given.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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