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Generalized ordered weighted averaging operators based methods for MADM in intuitionistic fuzzy set setting

机译:直觉模糊集设置中基于广义有序加权平均算子的MADM方法

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摘要

Multiattribute decision making (MADM) problems, in which the weights and ratings of alternatives are expressed with intuitionistic fuzzy (IF) sets, are investigated. Firstly, the relative degrees of membership and the relative degrees of non-membership are formulated as IF sets, the weights and values of alternatives on both qualitative and quantitative attributes may be expressed as IF sets in a unified way. Then a MADM method based on generalized ordered weighted averaging operators is proposed. The proposed method is illustrated with a numerical example.
机译:研究了用直觉模糊(IF)集表示备选方案的权重和等级的多属性决策(MADM)问题。首先,将隶属度的相对程度和非隶属度的相对程度表述为IF集,可以将定性和定量属性的替代方案的权重和值统一表示为IF集。然后提出了一种基于广义有序加权平均算子的MADM方法。数值示例说明了所提出的方法。

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