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分析了语言指标的特点,提出语言指标与Vague值转换的基本思路,给出语言指标与典型Vague值的转换方法.该方法能够保持决策者风险偏好的一致性.证明了在各方案属性的语言指标转化为Vague值后,即使采用不同风险偏好的记分函数,也能得到相同的记分值范围,据此提出基于记分函数的语言型多准则决策方法.通过实例说明该方法能减少决策者的风险偏好对决策结果的影响,提高决策的客观性和准确性.
This paper analyzes the characteristics of linguistic index, proposes the basic idea of linguistic index and Vague value conversion, and gives the conversion method between linguistic index and typical vague value. This method can keep the consistency of risk preference of the decision maker. After the index is transformed into the Vague value, the same score range can be obtained even with different risk preference score functions, and then a language-based multi-criteria decision-making method based on scoring function is proposed.Through an example, this method can reduce the decision makers’ The impact of risk appetite on the outcome of the decision making improves the objectivity and accuracy of the decision.