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A Method for Aggregating Linguistic Preference Relations Based on IOWA

机译:一种基于IOWA的语言偏好关系聚合方法

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IOWA operator, which is proposed by Yager, et al, has been used in many fields. In the paper, we deal with group linguistic assessments decision-making problems based on IOWA. Firstly, in the homogeneous, the higher the consistence degree of experts is, the higher the weights of linguistic as-sessments is, thus we explain the order inducing value of IOWA operator as numbers of the experts who assign the same linguistic assessment; In the heterogeneous, the bigger the importance degree of exports is, the higher the weights of linguistic as-sessments is, thus we explain the order inducing value of IOWA operator as sum of importance de-grees of all experts who assign the same linguistic assessment. Secondly, we use the order inducing values to compute the weights of IOWA operator.Thirdly, we use IOWA operator to aggregate group linguistic preference relations, and utilize linguis-tic length to dispose 'ties' among linguistic assess-ments.Finally, we introduce a process of aggrega-tion and give an example.
机译:Yager等人提出的IOWA运算符已在许多领域中使用。在本文中,我们处理基于IOWA的群体语言评估决策问题。首先,在同质中,专家的一致性程度越高,语言评估的权重就越高,因此,我们以分配相同语言评估的专家人数来解释IOWA操作员的顺序诱导值;在异类中,出口的重要性程度越大,语言评估的权重就越高,因此,我们将IOWA运算符的阶跃诱导值解释为分配相同语言评估的所有专家的重要性度之和。其次,使用阶数诱导值来计算IOWA运算符的权重。第三,我们使用IOWA运算符来聚合组语言偏好关系,并利用语言长度在语言评估之间布置``联系''。凝聚过程并举一个例子。

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