文件名称:high-order-Newton-type-methods
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针对具有语言评价信息、准则权系数部分已知的多准则决策问题, 提出一种基于前景理论及云模型的决策
方法. 首先, 通过给出一种改进的云模型生成方法将语言评价值转化为云模型 然后, 通过定义云模型距离和可能度
给出云前景价值, 并以其他备选方案为动态参考点, 构建云前景决策矩阵 最后, 在依据离差最大化得出最优权系数的基础上, 通过各方案综合前景值对其进行排序. 算例验证了所提出方法的合理性和可靠性.-For with linguistic assessment information on weights section known multi-criteria decision making problem, a decision-making method prospect theory and cloud model. First, by giving an improved method for generating cloud model uation value is converted to the language cloud model then, by definition of the cloud model range and may cloud prospects given value, and other options for the dynamic reference point, the prospects for building cloud decision matrix Finally, based on maximizing deviations derived optimal weights based on the prospect of value through comprehensive programs of its sort. numerical example of the proposed method is reasonable and reliable.
方法. 首先, 通过给出一种改进的云模型生成方法将语言评价值转化为云模型 然后, 通过定义云模型距离和可能度
给出云前景价值, 并以其他备选方案为动态参考点, 构建云前景决策矩阵 最后, 在依据离差最大化得出最优权系数的基础上, 通过各方案综合前景值对其进行排序. 算例验证了所提出方法的合理性和可靠性.-For with linguistic assessment information on weights section known multi-criteria decision making problem, a decision-making method prospect theory and cloud model. First, by giving an improved method for generating cloud model uation value is converted to the language cloud model then, by definition of the cloud model range and may cloud prospects given value, and other options for the dynamic reference point, the prospects for building cloud decision matrix Finally, based on maximizing deviations derived optimal weights based on the prospect of value through comprehensive programs of its sort. numerical example of the proposed method is reasonable and reliable.
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2012On two families of high order Newton type methods.pdf
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