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Fuzzy programming approach to multi-level programming problems

机译：模糊编程方法解决多层编程问题

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Multi-level programming is characterized as mathematical programming to solve decentralized planning problems. We have considered a multi-level linear programming problem and applied fuzzy mathematical programming (FMP) approach to obtain the solution of the system. We have suggested FMP method for the minimization of the objectives using linear membership functions. FMP is a supervised search procedure (supervised by the higher level decision maker (DM)). The higher level DM provides the preferred values of decision variables under his control (to enable the lower level DM to search for his optimum in a wider feasible space) and the bounds of his objective function (to direct the lower level DM to search for his solutions in the right direction).
机译：多级程序设计的特征是数学程序设计，可以解决分散式计划问题。我们考虑了多级线性规划问题，并应用模糊数学规划（FMP）方法来获得系统的解。我们建议使用线性隶属函数的FMP方法来最小化目标。 FMP是一种受监督的搜索过程（由上级决策者（DM）进行监督）。较高级别的DM在其控制下提供决策变量的首选值（以使较低级别的DM在较宽的可行空间中搜索其最优值）和目标函数的界限（指导较低级别的DM搜索其解决方案的方向正确）。

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