基于协同度的灰关联VIKOR方法
发布时间：2018-10-31 14:52
【摘要】：为防止个别较差指标的消极影响被其他指标所中和,强化指标的协同效应,提高决策的合理性,提出了一种基于协同度的灰关联VIKOR决策方法。以λ协同度为基础,进行规范化处理,并根据指标值对方案的整体影响,建立了方案修正因子模型。以方案修正因子和灰关联确定属性权重的乘积作为综合权重;在此基础上使用比TOPSIS更稳定和可靠的VIKOR方法对方案进行择优,并通过算例说明了方法的有效性和可行性。
[Abstract]:In order to prevent the negative influence of individual poor indexes from being neutralized by other indexes, to strengthen the synergistic effect of indicators and to improve the rationality of decision making, a grey correlation VIKOR decision making method based on synergy degree is proposed. On the basis of 位 synergy, the scheme correction factor model is established according to the overall influence of the index value on the scheme. The product of attribute weight is determined by the scheme correction factor and grey correlation, and on this basis, the VIKOR method, which is more stable and reliable than TOPSIS, is used to select the scheme. An example is given to illustrate the effectiveness and feasibility of the method.
【作者单位】： 临沂大学商学院;南京航空航天大学经济与管理学院;
【基金】：国家自然科学基金重大研究计划培育项目(No.90924022);国家自然科学基金面上项目(No.70971064);国家自然科学基金(No.71111130211,No.70901041,No.71171113)
【分类号】：C934
本文编号：2302596
[Abstract]:In order to prevent the negative influence of individual poor indexes from being neutralized by other indexes, to strengthen the synergistic effect of indicators and to improve the rationality of decision making, a grey correlation VIKOR decision making method based on synergy degree is proposed. On the basis of 位 synergy, the scheme correction factor model is established according to the overall influence of the index value on the scheme. The product of attribute weight is determined by the scheme correction factor and grey correlation, and on this basis, the VIKOR method, which is more stable and reliable than TOPSIS, is used to select the scheme. An example is given to illustrate the effectiveness and feasibility of the method.
【作者单位】： 临沂大学商学院;南京航空航天大学经济与管理学院;
【基金】：国家自然科学基金重大研究计划培育项目(No.90924022);国家自然科学基金面上项目(No.70971064);国家自然科学基金(No.71111130211,No.70901041,No.71171113)
【分类号】：C934
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