Fuzzy mathematical programming applied to multi-level programming problems
Fuzzy mathematical programming applied to multi-level programming problems
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DOI：
10.1016/s0305-0548(02)00061-8
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发表时间：
2003-08
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影响因子：
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通讯作者：
Surabhi Sinha
中科院分区：
文献类型：
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作者：
Surabhi Sinha
本文提出了一种基于模糊数学规划（FMP）的替代性多层次规划技术，该技术比Shih等人（Comput）提出的方案提供了更好的解决方案。③。Res. 23（1)(1996) 73）。该方法以层次结构的顺序交互地使用目标，并在每个阶段考虑决策制定者的愿望。该技术同样适用于线性/非线性多级（例如P级）规划问题（mlpp）。在本文中，我们提出了一种替代的FMP方法，用于线性/非线性MLPP的最大化和最小化型目标，该方法给出了更好的最优解。
An alternative multi-level programming technique based on fuzzy mathematical programming (FMP) is developed which gives better solutions than that proposed by Shih et al. (Comput. Oper. Res. 23(1) (1996) 73). The method uses the objectives in a sequential order of the hierarchy interactively and takes into account the desire of the DM at each stage. The technique is equally applicable to linear/nonlinear multi-level (say P levels) programming problems (MLPPs). Scope and purpose In this paper, we propose an alternative FMP method for a linear/nonlinear MLPP of maximization- and minimization-type objectives which gives better optimal solutions.