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作 者:王爱玲[1]
出 处:《大学数学》2011年第3期134-138,共5页College Mathematics
摘 要:物流中心的分布对现代物流活动有很大的影响,物流中心合理的选址能够减少货物运输费用,大大降低运营成本,从而提高企业竞争力.本文在连续模糊有序加权算子的基础上,提出一种新的处理模糊数据信息方法,同时在专家权重无法确定的情况下,建立了一种新的基于离差最小的目标规划模型来集结专家群体的不同偏好,并将其运用在物流选址中,该方法避免了模糊数的运算和比较,最后实例说明该方法在物流中心选址中的可行性.Distribution of logistics has great impact on the modern logistics activities.Rational location of logistics centers can significantly reduce the transportation and operation costs,and thus improve competitiveness of the enterprises.In this paper,a new method for dealing with fuzy data information is put forward based on the continuous fuzzy ordered weighted operator.Under the case with uncertain expert weights,a new goal programming model to gather the different preferences of experts based on the minimum deviation is developed,and then is applied to the site selection for logistics.The method presented in the model can avoid the ocmputation and comparison of fuzy numbers.Finally,some examples are given to illustrate the feasibility of the method on the location of logistics centers.
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