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Fuzzy goal and possibility programming with imprecise goal hierarchy

机译:目标层次不精确的模糊目标和可能性编程

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In this paper, the fuzzy goal programming is investigated when both the coefficients and the aspiration levels are considered fuzzy numbers with either trapezoidal or triangular membership functions. The possibility programming approach has been utilised in the case of exceedance possibility and the case of strict exceedance possibility. In many situations, the decision-maker cannot set a precise priority structure for the possibility functions of the fuzzy goals. A membership function for the imprecise relation between different pairs of possibilities has been defined. This function reflects a scale for the degree of importance between any pair of goals. This scale starts from 'almost not important' to 'certainly more important'. Accordingly, there are two types of the membership functions. The first represents the possibility functions of all fuzzy goals, while the second is the membership functions of the imprecise importance relations. The weighted max-min approach is utilised for the two types. The suggested approach is illustrated by a numerical example.
机译:在本文中,当将系数和期望水平都考虑为具有梯形或三角隶属函数的模糊数时,研究了模糊目标规划。在超越可能性和严格超越可能性的情况下,已经使用了可能性编程方法。在许多情况下,决策者无法为模糊目标的可能性函数设置精确的优先级结构。已经定义了不同可能性对之间的不精确关系的隶属度函数。此函数反映了任何一对目标之间的重要程度的等级。这个范围从“几乎不重要”到“肯定更重要”。因此,有两种类型的隶属函数。第一个代表所有模糊目标的可能性函数,第二个代表不精确重要性关系的隶属函数。加权最大-最小方法用于两种类型。数值示例说明了建议的方法。

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